Introduction

In this document, we will do some preliminary analyses of an IBIS dataset consisting of information about Proband siblings (siblings of children with Autism). This data includes background demographic information (sex of sibling and Proband, parent information, etc.), various behavioral measures (ADOS, ADIR, CSBS, etc.) and as well brain structure information (TCV, TSA, EACSF, etc.) across various time points. Siblings were observed at 6, 12, and 24 months of age. The preliminary analyses will consist of

  1. Summary statistics table for all variables

  2. Data visualizations of group differences by diagnosis of sibling

  3. Measures/visualizations of associations between SCQ and brain measures.

We are also interested in the following, more specified brain measures:

  1. Fractional Anisotropy (FA) of major white matter tracts: CCbody, CCGenu, CCSplenium

  2. Amygdala volumes (Amyg)

  3. Brain Thickness (Axis_Mean_Thickness)

  4. Surface Area in selected regions of interest (ROIs):

ROI08 = Right Medial Frontal Gyrus

ROI41 = Left Cuneus Gyrus

ROI42 = Right Cuneus Gyrus

ROI44 = Right Lingual Gyrus

ROI47 = Left Middle Occipital Gyrus

ROI48 = Right Middle Occipital Gyrus

ROI77 = Left Inferior Temporal Gyrus

  1. Control ROIs:

ROI01 = Left Precentral Gyrus

ROI02 = Right Precentral Gyrus

ROI59 = Left Supramarginal Gyrus

ROI60 = Right Supramarginal Gyrus

Read-in Data

First, we read in the data as a XLSX file using the function read_excel(), which requires the readxl package (see above code). Due to the large number of variables in the dataset, we create another dataset in R with a subset of variables which are of interest for a table of summary statistics. We will also create a form of this dataset in long format.

Summary Statistics Tables

Here we create separate summary statistics tables for

  1. Variables at baseline, by diagnosis
  2. Variables measured across time, by diagnosis and time point

Exploratory Plots

Here we create the following plots to provide a visual overview of the variables of interest (Proband SCQ and brain structure):

  1. Histograms of brain structure measures (EACSF, TCV, TSA, etc.)
  2. Scatterplots of Proband SCQ by brain structure

both sets by visit and diagnosis.

Linear Regression-No Confounding Variables

Here we consider fitting linear regression models to estimate the assoications between various brain measures (EACSF, TCV, TSA, etc.) and Proband SCQ Total Score. We model different associations for each diagnosis group using an interaction term between diagnosis and diagnosis. The models can be summarized as follows:

\(Y=\beta_0+\beta_1*Diagnosis+\beta_2*\mbox{SCQ_Proband_Score}+\beta_3*\mbox{SCQ_Proband_Score}*Diagnosis\)

where \(Y\) is one of the brain measures. First, we do not control for possible confounding variables. For each model, we print the regression parameter estimates/p-values and two diagnostic plots (fitted values by residuals and residuals QQ plot). Due to the longitudinal nature of the data, we run separate analyses for each time pont. [1] “Visit = V06” [1] “Model = EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 76584.76 <0.001 (60189.97, 92979.54)
RiskGroupHR-ASD 13903.44 0.534 (-30071.49, 57878.37)
SCQ_Pro_Score -80.46 0.834 (-835.46, 674.53)
RiskGroupHR-ASD:SCQ_Pro_Score -49.05 0.959 (-1931.03, 1832.93)
[1] “Visit = V12” [1] “Model = EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 76493.78 <0.001 (64938.33, 88049.22)
RiskGroupHR-ASD -19966.62 0.259 (-54735.44, 14802.2)
SCQ_Pro_Score -230.47 0.391 (-759.14, 298.2)
RiskGroupHR-ASD:SCQ_Pro_Score 1049.02 0.158 (-408.85, 2506.88)
[1] “Visit = V24” [1] “Model = EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 76349.99 <0.001 (66636.69, 86063.29)
RiskGroupHR-ASD -20483.84 0.126 (-46764.45, 5796.77)
SCQ_Pro_Score -276.28 0.229 (-727.58, 175.03)
RiskGroupHR-ASD:SCQ_Pro_Score 1001.58 0.084 (-135.9, 2139.05)
[1] “Visit = V06” [1] “Model = TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 838393.83 <0.001 (797084.97, 879702.68)
RiskGroupHR-ASD -72319.24 0.194 (-181784.19, 37145.72)
SCQ_Pro_Score -192.84 0.843 (-2110.87, 1725.2)
RiskGroupHR-ASD:SCQ_Pro_Score 4631.55 0.055 (-109.44, 9372.54)
[1] “Visit = V12” [1] “Model = TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 818696.54 <0.001 (780414.36, 856978.72)
RiskGroupHR-ASD -101714.65 0.091 (-219925.52, 16496.22)
SCQ_Pro_Score -688.32 0.442 (-2449.24, 1072.59)
RiskGroupHR-ASD:SCQ_Pro_Score 6198.62 0.015 (1233.2, 11164.04)
[1] “Visit = V24” [1] “Model = TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 946815.66 <0.001 (896126.84, 997504.47)
RiskGroupHR-ASD -161164.84 0.025 (-301930.33, -20399.36)
SCQ_Pro_Score -550.60 0.647 (-2914.05, 1812.85)
RiskGroupHR-ASD:SCQ_Pro_Score 8600.61 0.006 (2541.41, 14659.8)
[1] “Visit = V06” [1] “Model = TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 58808.35 <0.001 (56085.37, 61531.33)
RiskGroupHR-ASD -3902.95 0.375 (-12553.68, 4747.78)
SCQ_Pro_Score -16.16 0.8 (-141.99, 109.66)
RiskGroupHR-ASD:SCQ_Pro_Score 301.67 0.108 (-66.92, 670.27)
[1] “Visit = V12” [1] “Model = TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 67523.53 <0.001 (64717.99, 70329.08)
RiskGroupHR-ASD -9268.96 0.037 (-17959.34, -578.58)
SCQ_Pro_Score -71.53 0.274 (-200.19, 57.13)
RiskGroupHR-ASD:SCQ_Pro_Score 515.78 0.006 (150.62, 880.94)
[1] “Visit = V24” [1] “Model = TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 78815.94 <0.001 (75185.45, 82446.44)
RiskGroupHR-ASD -13928.05 0.007 (-23990.69, -3865.41)
SCQ_Pro_Score -39.97 0.64 (-208.21, 128.28)
RiskGroupHR-ASD:SCQ_Pro_Score 704.28 0.002 (269.38, 1139.18)
[1] “Visit = V06” [1] “Model = CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 0.39 <0.001 (0.37, 0.4)
RiskGroupHR-ASD -0.03 0.128 (-0.07, 0.01)
SCQ_Pro_Score 0.00 0.999 (0, 0)
RiskGroupHR-ASD:SCQ_Pro_Score 0.00 0.108 (0, 0)
[1] “Visit = V12” [1] “Model = CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 0.43 <0.001 (0.41, 0.44)
RiskGroupHR-ASD 0.00 0.895 (-0.04, 0.05)
SCQ_Pro_Score 0.00 0.838 (0, 0)
RiskGroupHR-ASD:SCQ_Pro_Score 0.00 0.88 (0, 0)
[1] “Visit = V24” [1] “Model = CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 0.47 <0.001 (0.45, 0.49)
RiskGroupHR-ASD -0.01 0.779 (-0.05, 0.04)
SCQ_Pro_Score 0.00 0.982 (0, 0)
RiskGroupHR-ASD:SCQ_Pro_Score 0.00 0.794 (0, 0)
[1] “Visit = V06” [1] “Model = CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 0.38 <0.001 (0.37, 0.4)
RiskGroupHR-ASD -0.03 0.121 (-0.07, 0.01)
SCQ_Pro_Score 0.00 0.959 (0, 0)
RiskGroupHR-ASD:SCQ_Pro_Score 0.00 0.099 (0, 0)
[1] “Visit = V12” [1] “Model = CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 0.43 <0.001 (0.42, 0.44)
RiskGroupHR-ASD 0.00 0.846 (-0.05, 0.04)
SCQ_Pro_Score 0.00 0.45 (0, 0)
RiskGroupHR-ASD:SCQ_Pro_Score 0.00 0.696 (0, 0)
[1] “Visit = V24” [1] “Model = CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 0.47 <0.001 (0.45, 0.49)
RiskGroupHR-ASD -0.02 0.393 (-0.07, 0.03)
SCQ_Pro_Score 0.00 0.287 (0, 0)
RiskGroupHR-ASD:SCQ_Pro_Score 0.00 0.364 (0, 0)
[1] “Visit = V06” [1] “Model = CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 0.45 <0.001 (0.43, 0.47)
RiskGroupHR-ASD -0.07 0.016 (-0.13, -0.01)
SCQ_Pro_Score 0.00 0.817 (0, 0)
RiskGroupHR-ASD:SCQ_Pro_Score 0.00 0.017 (0, 0.01)
[1] “Visit = V12” [1] “Model = CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 0.51 <0.001 (0.49, 0.52)
RiskGroupHR-ASD 0.02 0.416 (-0.03, 0.08)
SCQ_Pro_Score 0.00 0.65 (0, 0)
RiskGroupHR-ASD:SCQ_Pro_Score 0.00 0.571 (0, 0)
[1] “Visit = V24” [1] “Model = CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 0.53 <0.001 (0.51, 0.55)
RiskGroupHR-ASD -0.01 0.66 (-0.07, 0.04)
SCQ_Pro_Score 0.00 0.62 (0, 0)
RiskGroupHR-ASD:SCQ_Pro_Score 0.00 0.85 (0, 0)
[1] “Visit = V06” [1] “Model = ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1219.83 <0.001 (1126.94, 1312.73)
RiskGroupHR-ASD 312.78 0.038 (17.66, 607.9)
SCQ_Pro_Score 1.58 0.467 (-2.71, 5.88)
RiskGroupHR-ASD:SCQ_Pro_Score -8.49 0.184 (-21.07, 4.08)
[1] “Visit = V12” [1] “Model = ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1425.69 <0.001 (1331.04, 1520.34)
RiskGroupHR-ASD 186.38 0.212 (-106.8, 479.56)
SCQ_Pro_Score 0.48 0.828 (-3.86, 4.82)
RiskGroupHR-ASD:SCQ_Pro_Score -4.68 0.455 (-17, 7.64)
[1] “Visit = V24” [1] “Model = ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1630.79 <0.001 (1496.84, 1764.75)
RiskGroupHR-ASD -148.87 0.43 (-520.15, 222.42)
SCQ_Pro_Score 0.58 0.854 (-5.63, 6.79)
RiskGroupHR-ASD:SCQ_Pro_Score 8.35 0.306 (-7.7, 24.4)
[1] “Visit = V06” [1] “Model = ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1271.44 <0.001 (1173.19, 1369.7)
RiskGroupHR-ASD 239.92 0.131 (-72.23, 552.07)
SCQ_Pro_Score -0.52 0.823 (-5.06, 4.02)
RiskGroupHR-ASD:SCQ_Pro_Score -5.66 0.402 (-18.96, 7.64)
[1] “Visit = V12” [1] “Model = ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1458.10 <0.001 (1363.56, 1552.64)
RiskGroupHR-ASD 259.93 0.082 (-32.91, 552.77)
SCQ_Pro_Score -0.95 0.666 (-5.29, 3.38)
RiskGroupHR-ASD:SCQ_Pro_Score -7.41 0.237 (-19.72, 4.89)
[1] “Visit = V24” [1] “Model = ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1599.73 <0.001 (1483.54, 1715.91)
RiskGroupHR-ASD 52.95 0.746 (-269.07, 374.97)
SCQ_Pro_Score 0.81 0.766 (-4.57, 6.2)
RiskGroupHR-ASD:SCQ_Pro_Score 1.48 0.834 (-12.44, 15.4)
[1] “Visit = V06” [1] “Model = ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1882.15 <0.001 (1694.47, 2069.84)
RiskGroupHR-ASD -242.56 0.423 (-838.83, 353.71)
SCQ_Pro_Score -0.38 0.931 (-9.05, 8.29)
RiskGroupHR-ASD:SCQ_Pro_Score 19.11 0.139 (-6.3, 44.52)
[1] “Visit = V12” [1] “Model = ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 2138.16 <0.001 (1950.49, 2325.83)
RiskGroupHR-ASD -231.05 0.434 (-812.37, 350.28)
SCQ_Pro_Score -1.33 0.761 (-9.94, 7.27)
RiskGroupHR-ASD:SCQ_Pro_Score 19.71 0.113 (-4.71, 44.14)
[1] “Visit = V24” [1] “Model = ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 2599.59 <0.001 (2360.44, 2838.75)
RiskGroupHR-ASD -650.03 0.055 (-1312.89, 12.83)
SCQ_Pro_Score 1.78 0.752 (-9.3, 12.87)
RiskGroupHR-ASD:SCQ_Pro_Score 39.24 0.007 (10.59, 67.89)
[1] “Visit = V06” [1] “Model = ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1091.69 <0.001 (1004.5, 1178.88)
RiskGroupHR-ASD -47.90 0.733 (-324.89, 229.1)
SCQ_Pro_Score 1.98 0.334 (-2.05, 6.01)
RiskGroupHR-ASD:SCQ_Pro_Score 1.69 0.778 (-10.12, 13.49)
[1] “Visit = V12” [1] “Model = ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1179.70 <0.001 (1088.07, 1271.32)
RiskGroupHR-ASD -49.43 0.732 (-333.24, 234.39)
SCQ_Pro_Score 3.03 0.157 (-1.17, 7.23)
RiskGroupHR-ASD:SCQ_Pro_Score 3.76 0.535 (-8.17, 15.69)
[1] “Visit = V24” [1] “Model = ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1367.68 <0.001 (1258.78, 1476.57)
RiskGroupHR-ASD -347.90 0.024 (-649.73, -46.07)
SCQ_Pro_Score 0.55 0.829 (-4.49, 5.6)
RiskGroupHR-ASD:SCQ_Pro_Score 16.21 0.015 (3.17, 29.26)
[1] “Visit = V06” [1] “Model = ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1240.37 <0.001 (1149.81, 1330.93)
RiskGroupHR-ASD -84.51 0.563 (-372.22, 203.2)
SCQ_Pro_Score 0.19 0.929 (-4, 4.37)
RiskGroupHR-ASD:SCQ_Pro_Score 7.20 0.248 (-5.06, 19.46)
[1] “Visit = V12” [1] “Model = ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1404.35 <0.001 (1304.36, 1504.35)
RiskGroupHR-ASD -122.30 0.437 (-432.03, 187.43)
SCQ_Pro_Score -0.68 0.77 (-5.27, 3.91)
RiskGroupHR-ASD:SCQ_Pro_Score 8.13 0.219 (-4.88, 21.15)
[1] “Visit = V24” [1] “Model = ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1509.37 <0.001 (1383.5, 1635.24)
RiskGroupHR-ASD -203.75 0.251 (-552.62, 145.13)
SCQ_Pro_Score 1.55 0.601 (-4.28, 7.38)
RiskGroupHR-ASD:SCQ_Pro_Score 10.94 0.154 (-4.14, 26.02)
[1] “Visit = V06” [1] “Model = ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 649.06 <0.001 (573.48, 724.65)
RiskGroupHR-ASD -86.20 0.48 (-326.34, 153.93)
SCQ_Pro_Score 1.23 0.489 (-2.27, 4.72)
RiskGroupHR-ASD:SCQ_Pro_Score 7.21 0.166 (-3.02, 17.44)
[1] “Visit = V12” [1] “Model = ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 748.16 <0.001 (676.18, 820.15)
RiskGroupHR-ASD -202.59 0.075 (-425.56, 20.39)
SCQ_Pro_Score -0.78 0.64 (-4.08, 2.52)
RiskGroupHR-ASD:SCQ_Pro_Score 12.67 0.008 (3.3, 22.04)
[1] “Visit = V24” [1] “Model = ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 821.76 <0.001 (731.87, 911.65)
RiskGroupHR-ASD -83.34 0.51 (-332.49, 165.82)
SCQ_Pro_Score 1.16 0.584 (-3.01, 5.33)
RiskGroupHR-ASD:SCQ_Pro_Score 6.36 0.246 (-4.41, 17.13)
[1] “Visit = V06” [1] “Model = ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1461.19 <0.001 (1288.18, 1634.2)
RiskGroupHR-ASD 253.75 0.364 (-295.89, 803.39)
SCQ_Pro_Score 5.06 0.214 (-2.94, 13.05)
RiskGroupHR-ASD:SCQ_Pro_Score -9.73 0.414 (-33.14, 13.69)
[1] “Visit = V12” [1] “Model = ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1820.95 <0.001 (1640.01, 2001.88)
RiskGroupHR-ASD -236.01 0.408 (-796.48, 324.45)
SCQ_Pro_Score 0.74 0.861 (-7.56, 9.03)
RiskGroupHR-ASD:SCQ_Pro_Score 12.62 0.292 (-10.93, 36.17)
[1] “Visit = V24” [1] “Model = ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 2134.90 <0.001 (1899.35, 2370.45)
RiskGroupHR-ASD -515.96 0.121 (-1168.84, 136.91)
SCQ_Pro_Score 0.43 0.938 (-10.49, 11.35)
RiskGroupHR-ASD:SCQ_Pro_Score 26.65 0.064 (-1.56, 54.87)
[1] “Visit = V06” [1] “Model = ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1354.03 <0.001 (1208.73, 1499.32)
RiskGroupHR-ASD -526.19 0.026 (-987.78, -64.6)
SCQ_Pro_Score -3.13 0.36 (-9.84, 3.59)
RiskGroupHR-ASD:SCQ_Pro_Score 25.02 0.013 (5.35, 44.69)
[1] “Visit = V12” [1] “Model = ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1674.02 <0.001 (1526.04, 1822)
RiskGroupHR-ASD -653.21 0.005 (-1111.6, -194.83)
SCQ_Pro_Score -7.75 0.025 (-14.54, -0.96)
RiskGroupHR-ASD:SCQ_Pro_Score 30.06 0.002 (10.8, 49.32)
[1] “Visit = V24” [1] “Model = ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1864.63 <0.001 (1673.81, 2055.45)
RiskGroupHR-ASD -747.63 0.006 (-1276.52, -218.74)
SCQ_Pro_Score -5.00 0.267 (-13.84, 3.85)
RiskGroupHR-ASD:SCQ_Pro_Score 33.26 0.005 (10.4, 56.12)
[1] “Visit = V06” [1] “Model = ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 645.49 <0.001 (572.33, 718.66)
RiskGroupHR-ASD -177.46 0.134 (-409.91, 54.99)
SCQ_Pro_Score -0.99 0.564 (-4.37, 2.39)
RiskGroupHR-ASD:SCQ_Pro_Score 9.70 0.055 (-0.2, 19.61)
[1] “Visit = V12” [1] “Model = ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 726.58 <0.001 (652.4, 800.76)
RiskGroupHR-ASD -101.56 0.385 (-331.33, 128.22)
SCQ_Pro_Score -0.86 0.62 (-4.26, 2.54)
RiskGroupHR-ASD:SCQ_Pro_Score 6.66 0.176 (-3, 16.31)
[1] “Visit = V24” [1] “Model = ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 841.75 <0.001 (741.94, 941.56)
RiskGroupHR-ASD -174.47 0.215 (-451.11, 102.17)
SCQ_Pro_Score -0.32 0.891 (-4.95, 4.3)
RiskGroupHR-ASD:SCQ_Pro_Score 7.48 0.219 (-4.47, 19.44)
[1] “Visit = V06” [1] “Model = ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 764.72 <0.001 (684.68, 844.75)
RiskGroupHR-ASD -230.25 0.076 (-484.52, 24.03)
SCQ_Pro_Score -0.09 0.962 (-3.79, 3.61)
RiskGroupHR-ASD:SCQ_Pro_Score 10.55 0.056 (-0.29, 21.38)
[1] “Visit = V12” [1] “Model = ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 892.25 <0.001 (809.43, 975.08)
RiskGroupHR-ASD -178.95 0.171 (-435.51, 77.6)
SCQ_Pro_Score -1.30 0.502 (-5.09, 2.5)
RiskGroupHR-ASD:SCQ_Pro_Score 8.56 0.119 (-2.22, 19.34)
[1] “Visit = V24” [1] “Model = ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1057.35 <0.001 (944.95, 1169.76)
RiskGroupHR-ASD -257.43 0.105 (-568.99, 54.13)
SCQ_Pro_Score -3.05 0.25 (-8.26, 2.16)
RiskGroupHR-ASD:SCQ_Pro_Score 12.00 0.08 (-1.47, 25.47)
[1] “Visit = V06” [1] “Model = ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 724.08 <0.001 (628.22, 819.95)
RiskGroupHR-ASD 120.95 0.434 (-183.61, 425.51)
SCQ_Pro_Score 0.00 1 (-4.43, 4.43)
RiskGroupHR-ASD:SCQ_Pro_Score -3.21 0.626 (-16.19, 9.77)
[1] “Visit = V12” [1] “Model = ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 835.58 <0.001 (743.34, 927.82)
RiskGroupHR-ASD -87.11 0.549 (-372.83, 198.6)
SCQ_Pro_Score -0.36 0.868 (-4.59, 3.87)
RiskGroupHR-ASD:SCQ_Pro_Score 4.14 0.498 (-7.87, 16.14)
[1] “Visit = V24” [1] “Model = ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score”
ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score
Estimate p_value CI_95
(Intercept) 1115.22 <0.001 (983.52, 1246.93)
RiskGroupHR-ASD -132.40 0.476 (-497.44, 232.65)
SCQ_Pro_Score -0.66 0.833 (-6.76, 5.45)
RiskGroupHR-ASD:SCQ_Pro_Score 6.99 0.383 (-8.79, 22.77)

Linear Regression-Confounding Variables

Now, we conduct the same linear regression analysis as was done before but also include a set of possible confouding variables for eahch model. The variables are: Proband sex, study site for infant, age of the infant at MRI scan, age of Proband, and sex of infant. We print the same output as in the previous linear regrsssion analysis. [1] “Visit = V06” [1] “Model = EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 82962.76 <0.001 (35325.26, 130600.26)
RiskGroupHR-ASD 9484.20 0.68 (-35875.47, 54843.88)
SCQ_Pro_Score -145.00 0.721 (-945.09, 655.08)
Proband_SexFemale -3201.20 0.575 (-14437.93, 8035.53)
SiteSEA -113.35 0.985 (-12029.62, 11802.92)
SiteSTL 359.70 0.949 (-10826.09, 11545.49)
SiteUNC 1813.72 0.769 (-10374.62, 14002.05)
AgeMRI -347.06 0.914 (-6660.14, 5966.02)
Pro_Age_SCQ_y 57.23 0.943 (-1509.77, 1624.23)
Cand_SexFemale -7140.80 0.095 (-15547.22, 1265.62)
RiskGroupHR-ASD:SCQ_Pro_Score 36.92 0.97 (-1893.93, 1967.76)
[1] “Visit = V12” [1] “Model = EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 90171.35 0.005 (27951.14, 152391.56)
RiskGroupHR-ASD -18889.09 0.291 (-54077.9, 16299.73)
SCQ_Pro_Score -410.88 0.154 (-977.28, 155.51)
Proband_SexFemale 1206.67 0.774 (-7060.25, 9473.59)
SiteSEA -211.21 0.961 (-8641.26, 8218.84)
SiteSTL -2301.08 0.556 (-9993.13, 5390.98)
SiteUNC -1595.90 0.716 (-10221.01, 7029.21)
AgeMRI -1157.25 0.624 (-5809.69, 3495.19)
Pro_Age_SCQ_y 1238.73 0.036 (83.55, 2393.91)
Cand_SexFemale -2907.49 0.338 (-8874.27, 3059.28)
RiskGroupHR-ASD:SCQ_Pro_Score 1005.99 0.182 (-474.99, 2486.96)
[1] “Visit = V24” [1] “Model = EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 106861.54 <0.001 (44926.69, 168796.39)
RiskGroupHR-ASD -17625.51 0.185 (-43750.22, 8499.19)
SCQ_Pro_Score -254.14 0.273 (-710.48, 202.19)
Proband_SexFemale 6555.75 0.056 (-182.74, 13294.24)
SiteSEA 3264.08 0.341 (-3477.13, 10005.3)
SiteSTL -2541.00 0.391 (-8364.86, 3282.85)
SiteUNC 240.23 0.939 (-5942.61, 6423.07)
AgeMRI -1244.88 0.315 (-3681.62, 1191.87)
Pro_Age_SCQ_y 431.55 0.323 (-427.72, 1290.82)
Cand_SexFemale -7737.50 0.001 (-12357.25, -3117.74)
RiskGroupHR-ASD:SCQ_Pro_Score 802.21 0.164 (-329.15, 1933.56)
[1] “Visit = V06” [1] “Model = TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 705244.70 <0.001 (599542.42, 810946.98)
RiskGroupHR-ASD -88711.25 0.073 (-185931.09, 8508.58)
SCQ_Pro_Score -48.44 0.957 (-1805.58, 1708.7)
Proband_SexFemale -8192.91 0.522 (-33401.98, 17016.15)
SiteSEA -17193.19 0.208 (-44003.46, 9617.08)
SiteSTL -8305.16 0.518 (-33564.69, 16954.36)
SiteUNC 7063.35 0.609 (-20161.51, 34288.22)
AgeMRI 25605.68 <0.001 (11596.76, 39614.6)
Pro_Age_SCQ_y -636.04 0.728 (-4230.82, 2958.73)
Cand_SexFemale -64426.99 <0.001 (-83474.89, -45379.09)
RiskGroupHR-ASD:SCQ_Pro_Score 4232.82 0.048 (46.34, 8419.3)
[1] “Visit = V12” [1] “Model = TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 733714.07 <0.001 (551378.79, 916049.35)
RiskGroupHR-ASD -102123.65 0.062 (-209508.34, 5261.04)
SCQ_Pro_Score -876.18 0.307 (-2563.11, 810.76)
Proband_SexFemale 566.82 0.963 (-23548.5, 24682.14)
SiteSEA 2211.07 0.862 (-22889.83, 27311.98)
SiteSTL -113.84 0.992 (-23454.94, 23227.26)
SiteUNC 12430.63 0.338 (-13074.95, 37936.22)
AgeMRI 9073.65 0.193 (-4616, 22763.31)
Pro_Age_SCQ_y 85.43 0.961 (-3356.26, 3527.11)
Cand_SexFemale -67414.52 <0.001 (-85248.86, -49580.18)
RiskGroupHR-ASD:SCQ_Pro_Score 5330.43 0.021 (804.24, 9856.61)
[1] “Visit = V24” [1] “Model = TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 607379.50 <0.001 (306263.61, 908495.39)
RiskGroupHR-ASD -147766.89 0.02 (-272128.41, -23405.38)
SCQ_Pro_Score -384.99 0.722 (-2512.46, 1742.47)
Proband_SexFemale 5948.05 0.702 (-24686.22, 36582.32)
SiteSEA -13691.41 0.394 (-45264.43, 17881.61)
SiteSTL -1205.90 0.93 (-28118.09, 25706.29)
SiteUNC -7878.42 0.598 (-37246.79, 21489.94)
AgeMRI 15352.78 0.012 (3469.71, 27235.84)
Pro_Age_SCQ_y -355.65 0.86 (-4322.88, 3611.59)
Cand_SexFemale -92632.26 <0.001 (-113971.55, -71292.97)
RiskGroupHR-ASD:SCQ_Pro_Score 7035.84 0.01 (1687.73, 12383.96)
[1] “Visit = V06” [1] “Model = TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 52918.51 <0.001 (45893.3, 59943.73)
RiskGroupHR-ASD -3731.88 0.316 (-11051.46, 3587.69)
SCQ_Pro_Score -22.51 0.689 (-133.29, 88.28)
Proband_SexFemale -157.18 0.858 (-1887.54, 1573.18)
SiteSEA -226.66 0.797 (-1960.55, 1507.24)
SiteSTL 66.57 0.936 (-1571.46, 1704.59)
SiteUNC 1190.66 0.196 (-618.83, 3000.16)
AgeMRI 1196.10 0.013 (254.81, 2137.4)
Pro_Age_SCQ_y 24.16 0.838 (-207.97, 256.28)
Cand_SexFemale -5119.58 <0.001 (-6321.69, -3917.46)
RiskGroupHR-ASD:SCQ_Pro_Score 207.68 0.19 (-103.5, 518.87)
[1] “Visit = V12” [1] “Model = TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 55879.57 <0.001 (42536.63, 69222.51)
RiskGroupHR-ASD -8994.51 0.024 (-16819.23, -1169.79)
SCQ_Pro_Score -87.87 0.157 (-209.7, 33.96)
Proband_SexFemale 627.59 0.494 (-1177.02, 2432.2)
SiteSEA 547.37 0.562 (-1311.57, 2406.31)
SiteSTL 404.47 0.642 (-1306.76, 2115.69)
SiteUNC 454.11 0.634 (-1421.17, 2329.38)
AgeMRI 1067.19 0.038 (61.13, 2073.24)
Pro_Age_SCQ_y 40.06 0.754 (-211.27, 291.39)
Cand_SexFemale -5026.89 <0.001 (-6330.69, -3723.1)
RiskGroupHR-ASD:SCQ_Pro_Score 439.84 0.009 (110.09, 769.6)
[1] “Visit = V24” [1] “Model = TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 57021.74 <0.001 (36013.24, 78030.24)
RiskGroupHR-ASD -12278.72 0.007 (-21125.83, -3431.6)
SCQ_Pro_Score -16.72 0.827 (-167.41, 133.98)
Proband_SexFemale 618.65 0.567 (-1510.8, 2748.1)
SiteSEA 565.81 0.617 (-1664.02, 2795.63)
SiteSTL 1019.43 0.29 (-876.02, 2914.87)
SiteUNC 469.36 0.655 (-1600.77, 2539.48)
AgeMRI 946.94 0.025 (117.82, 1776.06)
Pro_Age_SCQ_y -16.38 0.908 (-295.31, 262.56)
Cand_SexFemale -6710.01 <0.001 (-8212.42, -5207.6)
RiskGroupHR-ASD:SCQ_Pro_Score 570.29 0.004 (187.07, 953.51)
[1] “Visit = V06” [1] “Model = CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 0.30 <0.001 (0.27, 0.34)
RiskGroupHR-ASD -0.03 0.095 (-0.06, 0.01)
SCQ_Pro_Score 0.00 0.251 (0, 0)
Proband_SexFemale 0.00 0.276 (0, 0.01)
SiteSEA -0.02 0.003 (-0.02, -0.01)
SiteSTL -0.02 <0.001 (-0.03, -0.01)
SiteUNC -0.01 0.011 (-0.02, 0)
AgeMRI 0.01 <0.001 (0.01, 0.02)
Pro_Age_SCQ_y 0.00 0.317 (0, 0)
Cand_SexFemale 0.00 0.692 (-0.01, 0.01)
RiskGroupHR-ASD:SCQ_Pro_Score 0.00 0.082 (0, 0)
[1] “Visit = V12” [1] “Model = CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 0.35 <0.001 (0.27, 0.42)
RiskGroupHR-ASD 0.01 0.766 (-0.04, 0.05)
SCQ_Pro_Score 0.00 0.353 (0, 0)
Proband_SexFemale 0.00 0.553 (-0.01, 0.01)
SiteSEA -0.01 0.119 (-0.02, 0)
SiteSTL -0.01 0.009 (-0.02, 0)
SiteUNC -0.01 0.281 (-0.01, 0)
AgeMRI 0.01 0.023 (0, 0.01)
Pro_Age_SCQ_y 0.00 0.774 (0, 0)
Cand_SexFemale 0.00 0.852 (-0.01, 0.01)
RiskGroupHR-ASD:SCQ_Pro_Score 0.00 0.885 (0, 0)
[1] “Visit = V24” [1] “Model = CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 0.45 <0.001 (0.33, 0.56)
RiskGroupHR-ASD 0.00 0.916 (-0.05, 0.05)
SCQ_Pro_Score 0.00 0.704 (0, 0)
Proband_SexFemale 0.00 0.469 (-0.02, 0.01)
SiteSEA 0.00 0.922 (-0.01, 0.01)
SiteSTL -0.01 0.069 (-0.02, 0)
SiteUNC 0.00 0.455 (-0.02, 0.01)
AgeMRI 0.00 0.57 (0, 0.01)
Pro_Age_SCQ_y 0.00 0.372 (0, 0)
Cand_SexFemale -0.01 0.086 (-0.02, 0)
RiskGroupHR-ASD:SCQ_Pro_Score 0.00 0.929 (0, 0)
[1] “Visit = V06” [1] “Model = CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 0.31 <0.001 (0.27, 0.35)
RiskGroupHR-ASD -0.02 0.222 (-0.06, 0.01)
SCQ_Pro_Score 0.00 0.501 (0, 0)
Proband_SexFemale 0.00 0.803 (-0.01, 0.01)
SiteSEA -0.01 0.226 (-0.02, 0)
SiteSTL -0.01 0.066 (-0.02, 0)
SiteUNC 0.00 0.433 (-0.01, 0.01)
AgeMRI 0.01 <0.001 (0.01, 0.02)
Pro_Age_SCQ_y 0.00 0.941 (0, 0)
Cand_SexFemale 0.00 0.465 (-0.01, 0)
RiskGroupHR-ASD:SCQ_Pro_Score 0.00 0.187 (0, 0)
[1] “Visit = V12” [1] “Model = CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 0.33 <0.001 (0.25, 0.41)
RiskGroupHR-ASD 0.00 0.983 (-0.05, 0.05)
SCQ_Pro_Score 0.00 0.213 (0, 0)
Proband_SexFemale 0.00 0.506 (-0.01, 0.01)
SiteSEA -0.01 0.347 (-0.02, 0.01)
SiteSTL 0.00 0.388 (-0.01, 0.01)
SiteUNC 0.00 0.963 (-0.01, 0.01)
AgeMRI 0.01 0.01 (0, 0.01)
Pro_Age_SCQ_y 0.00 0.598 (0, 0)
Cand_SexFemale 0.00 0.491 (-0.01, 0)
RiskGroupHR-ASD:SCQ_Pro_Score 0.00 0.958 (0, 0)
[1] “Visit = V24” [1] “Model = CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 0.33 <0.001 (0.21, 0.46)
RiskGroupHR-ASD -0.02 0.532 (-0.07, 0.04)
SCQ_Pro_Score 0.00 0.105 (0, 0)
Proband_SexFemale -0.01 0.325 (-0.02, 0.01)
SiteSEA -0.01 0.214 (-0.02, 0.01)
SiteSTL -0.01 0.036 (-0.02, 0)
SiteUNC -0.01 0.224 (-0.02, 0)
AgeMRI 0.01 0.017 (0, 0.01)
Pro_Age_SCQ_y 0.00 0.324 (0, 0)
Cand_SexFemale -0.01 0.12 (-0.02, 0)
RiskGroupHR-ASD:SCQ_Pro_Score 0.00 0.613 (0, 0)
[1] “Visit = V06” [1] “Model = CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 0.33 <0.001 (0.28, 0.38)
RiskGroupHR-ASD -0.06 0.021 (-0.11, -0.01)
SCQ_Pro_Score 0.00 0.643 (0, 0)
Proband_SexFemale 0.00 0.915 (-0.01, 0.01)
SiteSEA -0.01 0.297 (-0.02, 0.01)
SiteSTL -0.02 <0.001 (-0.04, -0.01)
SiteUNC -0.01 0.102 (-0.02, 0)
AgeMRI 0.02 <0.001 (0.01, 0.03)
Pro_Age_SCQ_y 0.00 0.515 (0, 0)
Cand_SexFemale 0.00 0.44 (-0.01, 0.01)
RiskGroupHR-ASD:SCQ_Pro_Score 0.00 0.022 (0, 0)
[1] “Visit = V12” [1] “Model = CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 0.43 <0.001 (0.33, 0.52)
RiskGroupHR-ASD 0.03 0.313 (-0.03, 0.09)
SCQ_Pro_Score 0.00 0.307 (0, 0)
Proband_SexFemale 0.00 0.789 (-0.01, 0.01)
SiteSEA 0.00 0.873 (-0.01, 0.01)
SiteSTL -0.01 0.074 (-0.02, 0)
SiteUNC 0.00 0.482 (-0.01, 0.02)
AgeMRI 0.01 0.096 (0, 0.01)
Pro_Age_SCQ_y 0.00 0.966 (0, 0)
Cand_SexFemale 0.00 0.561 (-0.01, 0.01)
RiskGroupHR-ASD:SCQ_Pro_Score 0.00 0.354 (0, 0)
[1] “Visit = V24” [1] “Model = CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 0.55 <0.001 (0.42, 0.68)
RiskGroupHR-ASD -0.01 0.728 (-0.06, 0.04)
SCQ_Pro_Score 0.00 0.315 (0, 0)
Proband_SexFemale 0.00 0.619 (-0.01, 0.02)
SiteSEA 0.00 0.824 (-0.02, 0.01)
SiteSTL -0.01 0.082 (-0.02, 0)
SiteUNC 0.00 0.914 (-0.01, 0.01)
AgeMRI 0.00 0.927 (-0.01, 0)
Pro_Age_SCQ_y 0.00 0.074 (0, 0)
Cand_SexFemale -0.01 0.097 (-0.02, 0)
RiskGroupHR-ASD:SCQ_Pro_Score 0.00 0.933 (0, 0)
[1] “Visit = V06” [1] “Model = ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 937.94 <0.001 (667.24, 1208.65)
RiskGroupHR-ASD 324.90 0.024 (42.85, 606.94)
SCQ_Pro_Score 0.08 0.969 (-4.19, 4.35)
Proband_SexFemale 50.03 0.14 (-16.64, 116.71)
SiteSEA -11.11 0.743 (-77.92, 55.7)
SiteSTL 46.13 0.151 (-16.99, 109.25)
SiteUNC 20.26 0.567 (-49.47, 89.98)
AgeMRI 41.96 0.024 (5.68, 78.23)
Pro_Age_SCQ_y 9.41 0.039 (0.47, 18.36)
Cand_SexFemale -98.79 <0.001 (-145.11, -52.47)
RiskGroupHR-ASD:SCQ_Pro_Score -9.83 0.108 (-21.82, 2.16)
[1] “Visit = V12” [1] “Model = ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 1549.91 <0.001 (1074.31, 2025.5)
RiskGroupHR-ASD 136.73 0.335 (-142.18, 415.63)
SCQ_Pro_Score -1.77 0.422 (-6.12, 2.57)
Proband_SexFemale 44.41 0.175 (-19.92, 108.73)
SiteSEA -2.80 0.934 (-69.06, 63.46)
SiteSTL 65.10 0.037 (4.11, 126.1)
SiteUNC 4.82 0.887 (-62.02, 71.66)
AgeMRI -6.36 0.727 (-42.22, 29.5)
Pro_Age_SCQ_y 4.46 0.327 (-4.49, 13.42)
Cand_SexFemale -116.91 <0.001 (-163.38, -70.44)
RiskGroupHR-ASD:SCQ_Pro_Score -3.39 0.571 (-15.14, 8.37)
[1] “Visit = V24” [1] “Model = ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 677.76 0.116 (-167.91, 1523.44)
RiskGroupHR-ASD -146.59 0.418 (-502.72, 209.54)
SCQ_Pro_Score 0.97 0.752 (-5.09, 7.04)
Proband_SexFemale 10.01 0.818 (-75.71, 95.72)
SiteSEA -77.25 0.091 (-167.01, 12.51)
SiteSTL 38.23 0.324 (-38.07, 114.53)
SiteUNC -25.53 0.547 (-108.86, 57.8)
AgeMRI 41.34 0.015 (7.96, 74.71)
Pro_Age_SCQ_y -2.23 0.695 (-13.46, 9)
Cand_SexFemale -152.39 <0.001 (-212.86, -91.91)
RiskGroupHR-ASD:SCQ_Pro_Score 7.16 0.361 (-8.27, 22.59)
[1] “Visit = V06” [1] “Model = ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 967.31 <0.001 (684.54, 1250.08)
RiskGroupHR-ASD 278.85 0.063 (-15.78, 573.47)
SCQ_Pro_Score -0.72 0.749 (-5.18, 3.73)
Proband_SexFemale 85.10 0.017 (15.45, 154.75)
SiteSEA 61.75 0.083 (-8.04, 131.54)
SiteSTL 73.92 0.028 (7.99, 139.85)
SiteUNC 71.89 0.053 (-0.94, 144.73)
AgeMRI 42.59 0.028 (4.7, 80.48)
Pro_Age_SCQ_y 1.36 0.774 (-7.98, 10.7)
Cand_SexFemale -114.05 <0.001 (-162.44, -65.67)
RiskGroupHR-ASD:SCQ_Pro_Score -8.64 0.175 (-21.17, 3.88)
[1] “Visit = V12” [1] “Model = ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 1333.15 <0.001 (852.87, 1813.42)
RiskGroupHR-ASD 229.14 0.11 (-52.5, 510.79)
SCQ_Pro_Score -1.60 0.472 (-5.99, 2.78)
Proband_SexFemale 55.86 0.092 (-9.1, 120.81)
SiteSEA 21.10 0.535 (-45.81, 88.02)
SiteSTL 56.79 0.071 (-4.81, 118.38)
SiteUNC 29.33 0.393 (-38.17, 96.83)
AgeMRI 13.01 0.48 (-23.21, 49.22)
Pro_Age_SCQ_y -2.43 0.598 (-11.47, 6.62)
Cand_SexFemale -117.16 <0.001 (-164.09, -70.23)
RiskGroupHR-ASD:SCQ_Pro_Score -7.37 0.222 (-19.24, 4.5)
[1] “Visit = V24” [1] “Model = ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 1034.59 0.006 (296.91, 1772.27)
RiskGroupHR-ASD 54.15 0.731 (-256.5, 364.8)
SCQ_Pro_Score 1.46 0.587 (-3.83, 6.75)
Proband_SexFemale 54.55 0.152 (-20.22, 129.32)
SiteSEA -19.43 0.625 (-97.73, 58.86)
SiteSTL 45.15 0.183 (-21.4, 111.71)
SiteUNC 20.15 0.585 (-52.54, 92.84)
AgeMRI 24.32 0.101 (-4.79, 53.43)
Pro_Age_SCQ_y -3.44 0.489 (-13.24, 6.35)
Cand_SexFemale -139.10 <0.001 (-191.85, -86.34)
RiskGroupHR-ASD:SCQ_Pro_Score 0.19 0.977 (-13.26, 13.65)
[1] “Visit = V06” [1] “Model = ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 2110.46 <0.001 (1561.2, 2659.72)
RiskGroupHR-ASD -287.32 0.323 (-859.59, 284.95)
SCQ_Pro_Score -1.42 0.746 (-10.09, 7.24)
Proband_SexFemale -14.29 0.835 (-149.58, 121)
SiteSEA 33.56 0.626 (-102, 169.13)
SiteSTL 30.01 0.644 (-98.06, 158.08)
SiteUNC 140.51 0.052 (-0.97, 281.98)
AgeMRI -21.63 0.563 (-95.23, 51.96)
Pro_Age_SCQ_y -1.38 0.881 (-19.53, 16.77)
Cand_SexFemale -238.84 <0.001 (-332.83, -144.86)
RiskGroupHR-ASD:SCQ_Pro_Score 16.87 0.173 (-7.46, 41.2)
[1] “Visit = V12” [1] “Model = ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 1680.50 <0.001 (710.54, 2650.46)
RiskGroupHR-ASD -259.30 0.37 (-828.11, 309.52)
SCQ_Pro_Score -2.70 0.549 (-11.55, 6.16)
Proband_SexFemale 61.18 0.359 (-70, 192.37)
SiteSEA -55.72 0.417 (-190.85, 79.42)
SiteSTL 31.97 0.613 (-92.43, 156.37)
SiteUNC -0.30 0.997 (-136.62, 136.03)
AgeMRI 44.38 0.233 (-28.75, 117.52)
Pro_Age_SCQ_y 1.16 0.9 (-17.11, 19.43)
Cand_SexFemale -204.49 <0.001 (-299.27, -109.71)
RiskGroupHR-ASD:SCQ_Pro_Score 18.61 0.128 (-5.36, 42.58)
[1] “Visit = V24” [1] “Model = ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 1949.91 0.013 (419.48, 3480.34)
RiskGroupHR-ASD -619.20 0.06 (-1263.69, 25.3)
SCQ_Pro_Score 2.53 0.65 (-8.45, 13.51)
Proband_SexFemale 83.41 0.29 (-71.72, 238.53)
SiteSEA -12.55 0.879 (-174.99, 149.89)
SiteSTL 62.76 0.371 (-75.32, 200.84)
SiteUNC 30.78 0.688 (-120.02, 181.59)
AgeMRI 29.15 0.343 (-31.25, 89.55)
Pro_Age_SCQ_y -1.65 0.873 (-21.97, 18.67)
Cand_SexFemale -292.21 <0.001 (-401.66, -182.76)
RiskGroupHR-ASD:SCQ_Pro_Score 35.26 0.014 (7.35, 63.18)
[1] “Visit = V06” [1] “Model = ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 1095.08 <0.001 (839.82, 1350.33)
RiskGroupHR-ASD -52.72 0.696 (-318.67, 213.23)
SCQ_Pro_Score 2.82 0.169 (-1.21, 6.84)
Proband_SexFemale -31.49 0.324 (-94.36, 31.38)
SiteSEA 26.09 0.415 (-36.91, 89.09)
SiteSTL 6.29 0.835 (-53.22, 65.81)
SiteUNC 45.24 0.176 (-20.51, 110.99)
AgeMRI 7.85 0.651 (-26.35, 42.05)
Pro_Age_SCQ_y -7.93 0.065 (-16.37, 0.5)
Cand_SexFemale -95.99 <0.001 (-139.67, -52.31)
RiskGroupHR-ASD:SCQ_Pro_Score -0.26 0.963 (-11.57, 11.04)
[1] “Visit = V12” [1] “Model = ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 732.67 0.003 (259.92, 1205.41)
RiskGroupHR-ASD -22.97 0.87 (-300.2, 254.26)
SCQ_Pro_Score 3.57 0.104 (-0.74, 7.89)
Proband_SexFemale -11.45 0.725 (-75.38, 52.49)
SiteSEA 26.73 0.425 (-39.13, 92.6)
SiteSTL 1.09 0.972 (-59.54, 61.72)
SiteUNC 19.37 0.566 (-47.07, 85.81)
AgeMRI 37.46 0.039 (1.82, 73.11)
Pro_Age_SCQ_y -1.65 0.715 (-10.56, 7.25)
Cand_SexFemale -86.37 <0.001 (-132.57, -40.18)
RiskGroupHR-ASD:SCQ_Pro_Score 1.19 0.842 (-10.5, 12.87)
[1] “Visit = V24” [1] “Model = ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 1153.98 0.002 (441.53, 1866.43)
RiskGroupHR-ASD -335.03 0.029 (-635.05, -35)
SCQ_Pro_Score 0.77 0.766 (-4.34, 5.88)
Proband_SexFemale 10.68 0.771 (-61.53, 82.9)
SiteSEA 61.36 0.111 (-14.26, 136.97)
SiteSTL 44.10 0.178 (-20.18, 108.38)
SiteUNC 33.93 0.342 (-36.27, 104.14)
AgeMRI 8.94 0.532 (-19.18, 37.06)
Pro_Age_SCQ_y -1.19 0.804 (-10.65, 8.27)
Cand_SexFemale -103.08 <0.001 (-154.03, -52.13)
RiskGroupHR-ASD:SCQ_Pro_Score 14.60 0.028 (1.61, 27.6)
[1] “Visit = V06” [1] “Model = ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 1208.77 <0.001 (937.94, 1479.6)
RiskGroupHR-ASD -57.26 0.689 (-339.43, 224.92)
SCQ_Pro_Score 1.11 0.607 (-3.16, 5.39)
Proband_SexFemale 24.85 0.463 (-41.86, 91.55)
SiteSEA 46.24 0.174 (-20.61, 113.08)
SiteSTL -30.93 0.335 (-94.08, 32.22)
SiteUNC 23.66 0.504 (-46.1, 93.42)
AgeMRI 7.03 0.703 (-29.26, 43.32)
Pro_Age_SCQ_y -1.86 0.682 (-10.81, 7.09)
Cand_SexFemale -72.36 0.002 (-118.7, -26.02)
RiskGroupHR-ASD:SCQ_Pro_Score 4.64 0.446 (-7.35, 16.64)
[1] “Visit = V12” [1] “Model = ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 995.33 <0.001 (483.99, 1506.66)
RiskGroupHR-ASD -92.02 0.546 (-391.88, 207.84)
SCQ_Pro_Score 0.45 0.85 (-4.22, 5.12)
Proband_SexFemale 56.66 0.108 (-12.5, 125.82)
SiteSEA 54.19 0.135 (-17.04, 125.43)
SiteSTL -10.08 0.762 (-75.66, 55.5)
SiteUNC 13.65 0.708 (-58.21, 85.52)
AgeMRI 33.15 0.092 (-5.41, 71.7)
Pro_Age_SCQ_y -2.03 0.678 (-11.66, 7.6)
Cand_SexFemale -96.74 <0.001 (-146.7, -46.77)
RiskGroupHR-ASD:SCQ_Pro_Score 5.30 0.409 (-7.34, 17.94)
[1] “Visit = V24” [1] “Model = ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 1471.84 <0.001 (662.17, 2281.51)
RiskGroupHR-ASD -129.76 0.454 (-470.73, 211.21)
SCQ_Pro_Score 2.96 0.316 (-2.85, 8.77)
Proband_SexFemale 91.77 0.029 (9.7, 173.84)
SiteSEA 87.83 0.045 (1.89, 173.77)
SiteSTL -1.91 0.959 (-74.96, 71.14)
SiteUNC 7.97 0.844 (-71.81, 87.76)
AgeMRI 1.15 0.944 (-30.81, 33.1)
Pro_Age_SCQ_y 0.48 0.929 (-10.27, 11.24)
Cand_SexFemale -131.57 <0.001 (-189.48, -73.67)
RiskGroupHR-ASD:SCQ_Pro_Score 6.48 0.388 (-8.29, 21.25)
[1] “Visit = V06” [1] “Model = ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 590.98 <0.001 (362.73, 819.23)
RiskGroupHR-ASD -98.21 0.416 (-336.03, 139.61)
SCQ_Pro_Score 1.40 0.443 (-2.2, 5)
Proband_SexFemale -31.11 0.276 (-87.33, 25.11)
SiteSEA -10.06 0.725 (-66.39, 46.28)
SiteSTL 17.06 0.528 (-36.16, 70.28)
SiteUNC 19.21 0.52 (-39.59, 78)
AgeMRI 15.58 0.316 (-15, 46.17)
Pro_Age_SCQ_y -4.31 0.26 (-11.86, 3.23)
Cand_SexFemale -64.31 0.001 (-103.37, -25.26)
RiskGroupHR-ASD:SCQ_Pro_Score 6.37 0.216 (-3.74, 16.48)
[1] “Visit = V12” [1] “Model = ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 930.56 <0.001 (550.94, 1310.17)
RiskGroupHR-ASD -218.23 0.055 (-440.84, 4.39)
SCQ_Pro_Score -1.12 0.526 (-4.58, 2.35)
Proband_SexFemale -22.13 0.396 (-73.48, 29.21)
SiteSEA -5.06 0.851 (-57.95, 47.82)
SiteSTL -0.86 0.972 (-49.55, 47.82)
SiteUNC -0.20 0.994 (-53.56, 53.15)
AgeMRI -10.05 0.49 (-38.67, 18.57)
Pro_Age_SCQ_y -3.35 0.357 (-10.5, 3.8)
Cand_SexFemale -58.06 0.002 (-95.15, -20.96)
RiskGroupHR-ASD:SCQ_Pro_Score 12.70 0.008 (3.32, 22.08)
[1] “Visit = V24” [1] “Model = ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 678.90 0.027 (76.67, 1281.12)
RiskGroupHR-ASD -63.23 0.624 (-316.84, 190.38)
SCQ_Pro_Score 1.38 0.530 (-2.94, 5.7)
Proband_SexFemale 8.50 0.784 (-52.55, 69.54)
SiteSEA 27.69 0.394 (-36.23, 91.61)
SiteSTL 11.51 0.677 (-42.83, 65.84)
SiteUNC 2.92 0.923 (-56.42, 62.26)
AgeMRI 5.96 0.622 (-17.81, 29.73)
Pro_Age_SCQ_y 0.57 0.887 (-7.42, 8.57)
Cand_SexFemale -58.31 0.008 (-101.38, -15.24)
RiskGroupHR-ASD:SCQ_Pro_Score 4.97 0.373 (-6.01, 15.96)
[1] “Visit = V06” [1] “Model = ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 944.64 <0.001 (428.23, 1461.04)
RiskGroupHR-ASD 300.80 0.271 (-237.24, 838.84)
SCQ_Pro_Score 4.05 0.328 (-4.1, 12.19)
Proband_SexFemale -65.95 0.308 (-193.14, 61.24)
SiteSEA -13.85 0.83 (-141.3, 113.61)
SiteSTL 35.64 0.56 (-84.77, 156.05)
SiteUNC 42.39 0.53 (-90.63, 175.4)
AgeMRI 84.35 0.017 (15.15, 153.54)
Pro_Age_SCQ_y 5.56 0.521 (-11.5, 22.62)
Cand_SexFemale -141.16 0.002 (-229.53, -52.8)
RiskGroupHR-ASD:SCQ_Pro_Score -14.10 0.225 (-36.97, 8.77)
[1] “Visit = V12” [1] “Model = ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 1961.80 <0.001 (1017.64, 2905.95)
RiskGroupHR-ASD -249.74 0.375 (-803.42, 303.95)
SCQ_Pro_Score -1.63 0.709 (-10.25, 6.99)
Proband_SexFemale -21.28 0.743 (-148.97, 106.42)
SiteSEA 39.66 0.553 (-91.88, 171.2)
SiteSTL 59.61 0.333 (-61.48, 180.69)
SiteUNC 103.17 0.127 (-29.53, 235.86)
AgeMRI -6.36 0.86 (-77.55, 64.83)
Pro_Age_SCQ_y 2.85 0.752 (-14.93, 20.64)
Cand_SexFemale -174.87 <0.001 (-267.13, -82.61)
RiskGroupHR-ASD:SCQ_Pro_Score 11.36 0.338 (-11.97, 34.69)
[1] “Visit = V24” [1] “Model = ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 157.86 0.841 (-1392.19, 1707.91)
RiskGroupHR-ASD -487.47 0.142 (-1140.23, 165.28)
SCQ_Pro_Score 0.34 0.952 (-10.78, 11.46)
Proband_SexFemale -39.06 0.625 (-196.18, 118.05)
SiteSEA -72.46 0.386 (-236.98, 92.06)
SiteSTL 59.49 0.403 (-80.36, 199.34)
SiteUNC -23.59 0.761 (-176.33, 129.15)
AgeMRI 81.28 0.009 (20.1, 142.45)
Pro_Age_SCQ_y 5.56 0.595 (-15.02, 26.14)
Cand_SexFemale -149.61 0.008 (-260.46, -38.76)
RiskGroupHR-ASD:SCQ_Pro_Score 24.63 0.087 (-3.65, 52.9)
[1] “Visit = V06” [1] “Model = ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 1333.86 <0.001 (909.11, 1758.6)
RiskGroupHR-ASD -582.35 0.01 (-1024.89, -139.81)
SCQ_Pro_Score -3.81 0.263 (-10.51, 2.89)
Proband_SexFemale 5.97 0.91 (-98.65, 110.59)
SiteSEA -54.87 0.303 (-159.7, 49.96)
SiteSTL -6.31 0.9 (-105.34, 92.73)
SiteUNC -10.27 0.853 (-119.67, 99.13)
AgeMRI 19.15 0.508 (-37.76, 76.06)
Pro_Age_SCQ_y 1.41 0.843 (-12.62, 15.45)
Cand_SexFemale -191.03 <0.001 (-263.71, -118.35)
RiskGroupHR-ASD:SCQ_Pro_Score 24.44 0.011 (5.63, 43.26)
[1] “Visit = V12” [1] “Model = ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 1150.40 0.003 (387.44, 1913.37)
RiskGroupHR-ASD -646.35 0.005 (-1093.77, -198.92)
SCQ_Pro_Score -8.54 0.017 (-15.51, -1.57)
Proband_SexFemale 34.35 0.513 (-68.84, 137.54)
SiteSEA 36.36 0.501 (-69.93, 142.66)
SiteSTL 36.61 0.462 (-61.24, 134.46)
SiteUNC -2.80 0.959 (-110.03, 104.43)
AgeMRI 44.09 0.132 (-13.43, 101.62)
Pro_Age_SCQ_y 4.72 0.518 (-9.65, 19.09)
Cand_SexFemale -157.74 <0.001 (-232.29, -83.19)
RiskGroupHR-ASD:SCQ_Pro_Score 27.81 0.004 (8.96, 46.67)
[1] “Visit = V24” [1] “Model = ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 1229.66 0.05 (-1.87, 2461.2)
RiskGroupHR-ASD -758.65 0.004 (-1277.28, -240.02)
SCQ_Pro_Score -5.49 0.222 (-14.32, 3.35)
Proband_SexFemale -25.52 0.687 (-150.35, 99.31)
SiteSEA -5.88 0.929 (-136.59, 124.84)
SiteSTL 82.13 0.147 (-28.98, 193.24)
SiteUNC 16.80 0.785 (-104.55, 138.15)
AgeMRI 28.39 0.251 (-20.22, 76.99)
Pro_Age_SCQ_y -0.76 0.927 (-17.11, 15.59)
Cand_SexFemale -203.82 <0.001 (-291.89, -115.75)
RiskGroupHR-ASD:SCQ_Pro_Score 32.01 0.005 (9.54, 54.47)
[1] “Visit = V06” [1] “Model = ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 807.22 <0.001 (580.06, 1034.37)
RiskGroupHR-ASD -209.23 0.083 (-445.9, 27.44)
SCQ_Pro_Score -1.26 0.487 (-4.85, 2.32)
Proband_SexFemale 14.24 0.616 (-41.71, 70.19)
SiteSEA 4.34 0.879 (-51.72, 60.41)
SiteSTL 1.14 0.966 (-51.83, 54.1)
SiteUNC 4.61 0.877 (-53.9, 63.12)
AgeMRI -21.87 0.158 (-52.3, 8.57)
Pro_Age_SCQ_y -0.05 0.989 (-7.56, 7.45)
Cand_SexFemale -35.72 0.071 (-74.59, 3.14)
RiskGroupHR-ASD:SCQ_Pro_Score 10.58 0.039 (0.52, 20.65)
[1] “Visit = V12” [1] “Model = ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 531.63 0.008 (138.5, 924.76)
RiskGroupHR-ASD -92.28 0.431 (-322.82, 138.26)
SCQ_Pro_Score -0.84 0.644 (-4.43, 2.75)
Proband_SexFemale 24.94 0.356 (-28.23, 78.11)
SiteSEA 44.22 0.113 (-10.55, 98.99)
SiteSTL 18.70 0.466 (-31.72, 69.12)
SiteUNC -0.02 0.999 (-55.27, 55.23)
AgeMRI 14.00 0.353 (-15.64, 43.64)
Pro_Age_SCQ_y 2.35 0.532 (-5.05, 9.76)
Cand_SexFemale -34.96 0.074 (-73.38, 3.45)
RiskGroupHR-ASD:SCQ_Pro_Score 5.79 0.242 (-3.93, 15.5)
[1] “Visit = V24” [1] “Model = ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 921.60 0.006 (264.8, 1578.41)
RiskGroupHR-ASD -172.04 0.222 (-448.64, 104.55)
SCQ_Pro_Score 0.29 0.905 (-4.42, 5)
Proband_SexFemale 23.49 0.488 (-43.09, 90.06)
SiteSEA 54.45 0.125 (-15.26, 124.16)
SiteSTL 31.46 0.297 (-27.8, 90.72)
SiteUNC 1.23 0.97 (-63.49, 65.95)
AgeMRI -2.23 0.865 (-28.15, 23.69)
Pro_Age_SCQ_y -5.12 0.249 (-13.84, 3.6)
Cand_SexFemale -83.94 <0.001 (-130.91, -36.97)
RiskGroupHR-ASD:SCQ_Pro_Score 6.57 0.281 (-5.41, 18.55)
[1] “Visit = V06” [1] “Model = ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 665.61 <0.001 (418.42, 912.81)
RiskGroupHR-ASD -230.50 0.079 (-488.05, 27.05)
SCQ_Pro_Score 0.05 0.978 (-3.84, 3.95)
Proband_SexFemale 32.38 0.295 (-28.51, 93.26)
SiteSEA -44.51 0.152 (-105.52, 16.5)
SiteSTL -26.34 0.368 (-83.98, 31.29)
SiteUNC -27.26 0.399 (-90.93, 36.41)
AgeMRI 18.84 0.263 (-14.28, 51.96)
Pro_Age_SCQ_y 1.61 0.698 (-6.56, 9.77)
Cand_SexFemale -36.27 0.092 (-78.57, 6.03)
RiskGroupHR-ASD:SCQ_Pro_Score 10.10 0.07 (-0.85, 21.05)
[1] “Visit = V12” [1] “Model = ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 901.19 <0.001 (462.63, 1339.75)
RiskGroupHR-ASD -170.58 0.193 (-427.77, 86.6)
SCQ_Pro_Score -1.74 0.392 (-5.75, 2.26)
Proband_SexFemale 37.37 0.216 (-21.94, 96.69)
SiteSEA -14.19 0.648 (-75.29, 46.91)
SiteSTL -33.57 0.241 (-89.81, 22.68)
SiteUNC -39.71 0.206 (-101.35, 21.93)
AgeMRI 0.50 0.976 (-32.57, 33.57)
Pro_Age_SCQ_y 5.56 0.186 (-2.7, 13.82)
Cand_SexFemale -44.43 0.042 (-87.29, -1.58)
RiskGroupHR-ASD:SCQ_Pro_Score 7.84 0.155 (-3, 18.68)
[1] “Visit = V24” [1] “Model = ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 885.53 0.019 (148, 1623.07)
RiskGroupHR-ASD -202.38 0.2 (-512.97, 108.21)
SCQ_Pro_Score -2.65 0.325 (-7.94, 2.64)
Proband_SexFemale 74.56 0.051 (-0.2, 149.31)
SiteSEA 40.66 0.307 (-37.62, 118.94)
SiteSTL 2.52 0.941 (-64.02, 69.06)
SiteUNC 23.41 0.526 (-49.26, 96.09)
AgeMRI 5.77 0.696 (-23.33, 34.88)
Pro_Age_SCQ_y 6.33 0.204 (-3.46, 16.13)
Cand_SexFemale -95.77 <0.001 (-148.51, -43.02)
RiskGroupHR-ASD:SCQ_Pro_Score 8.79 0.199 (-4.66, 22.24)
[1] “Visit = V06” [1] “Model = ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 614.60 <0.001 (326.66, 902.53)
RiskGroupHR-ASD 133.79 0.38 (-166.21, 433.79)
SCQ_Pro_Score -0.87 0.707 (-5.41, 3.67)
Proband_SexFemale 9.71 0.787 (-61.21, 80.63)
SiteSEA 11.62 0.747 (-59.45, 82.68)
SiteSTL 34.87 0.307 (-32.27, 102)
SiteUNC 70.57 0.062 (-3.6, 144.73)
AgeMRI 17.36 0.376 (-21.22, 55.94)
Pro_Age_SCQ_y 3.33 0.491 (-6.19, 12.84)
Cand_SexFemale -88.73 <0.001 (-138, -39.46)
RiskGroupHR-ASD:SCQ_Pro_Score -5.04 0.436 (-17.8, 7.71)
[1] “Visit = V12” [1] “Model = ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) 586.93 0.017 (105.19, 1068.67)
RiskGroupHR-ASD -101.66 0.479 (-384.17, 180.85)
SCQ_Pro_Score -1.53 0.493 (-5.93, 2.87)
Proband_SexFemale 13.46 0.684 (-51.69, 78.62)
SiteSEA 11.24 0.742 (-55.87, 78.36)
SiteSTL 59.03 0.061 (-2.75, 120.82)
SiteUNC 34.33 0.319 (-33.38, 102.04)
AgeMRI 20.48 0.268 (-15.84, 56.8)
Pro_Age_SCQ_y 2.90 0.530 (-6.18, 11.97)
Cand_SexFemale -77.96 0.001 (-125.03, -30.88)
RiskGroupHR-ASD:SCQ_Pro_Score 3.94 0.515 (-7.97, 15.84)
[1] “Visit = V24” [1] “Model = ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex”
ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + Proband_Sex + Site + AgeMRI + Pro_Age_SCQ_y + Cand_Sex
Estimate p_value CI_95
(Intercept) -361.39 0.393 (-1194.41, 471.63)
RiskGroupHR-ASD -83.01 0.641 (-433.81, 267.79)
SCQ_Pro_Score 0.65 0.83 (-5.32, 6.63)
Proband_SexFemale -8.05 0.851 (-92.49, 76.38)
SiteSEA 4.07 0.928 (-84.35, 92.48)
SiteSTL 35.33 0.355 (-39.83, 110.49)
SiteUNC -45.51 0.276 (-127.6, 36.57)
AgeMRI 61.22 <0.001 (28.34, 94.1)
Pro_Age_SCQ_y -2.48 0.659 (-13.54, 8.58)
Cand_SexFemale -132.80 <0.001 (-192.37, -73.23)
RiskGroupHR-ASD:SCQ_Pro_Score 4.02 0.602 (-11.17, 19.22)

Effect Sizes

Using the linear regression results we can compute effect sizes for these associations. We consider two effect size definitions.

  1. Percent differences between LS means for brain measure in model of proband SCQ groups (High and Low), adjusted for potential confounders
  2. Cohen’s D for differences in brain measure between proband SCQ groups (High and Low), adjusted for potential confounders

We calculate these at 6 month, 12 month, and 24 month visits, for only HR-ASD infants.

## [1] "Visit =  V06"
## [1] "Model = EACSF ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V12"
## [1] "Model = EACSF ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V24"
## [1] "Model = EACSF ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V06"
## [1] "Model = TCV ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V12"
## [1] "Model = TCV ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V24"
## [1] "Model = TCV ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V06"
## [1] "Model = TSA ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V12"
## [1] "Model = TSA ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V24"
## [1] "Model = TSA ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V06"
## [1] "Model = CCbody ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V12"
## [1] "Model = CCbody ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V24"
## [1] "Model = CCbody ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V06"
## [1] "Model = CCGenu ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V12"
## [1] "Model = CCGenu ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V24"
## [1] "Model = CCGenu ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V06"
## [1] "Model = CCSplenium ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V12"
## [1] "Model = CCSplenium ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V24"
## [1] "Model = CCSplenium ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V06"
## [1] "Model = ROI01 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V12"
## [1] "Model = ROI01 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V24"
## [1] "Model = ROI01 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V06"
## [1] "Model = ROI02 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V12"
## [1] "Model = ROI02 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V24"
## [1] "Model = ROI02 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V06"
## [1] "Model = ROI08 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V12"
## [1] "Model = ROI08 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V24"
## [1] "Model = ROI08 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V06"
## [1] "Model = ROI41 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V12"
## [1] "Model = ROI41 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V24"
## [1] "Model = ROI41 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V06"
## [1] "Model = ROI42 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V12"
## [1] "Model = ROI42 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V24"
## [1] "Model = ROI42 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V06"
## [1] "Model = ROI44 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V12"
## [1] "Model = ROI44 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V24"
## [1] "Model = ROI44 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V06"
## [1] "Model = ROI47 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V12"
## [1] "Model = ROI47 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V24"
## [1] "Model = ROI47 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V06"
## [1] "Model = ROI48 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V12"
## [1] "Model = ROI48 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V24"
## [1] "Model = ROI48 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V06"
## [1] "Model = ROI59 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V12"
## [1] "Model = ROI59 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V24"
## [1] "Model = ROI59 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V06"
## [1] "Model = ROI60 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V12"
## [1] "Model = ROI60 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V24"
## [1] "Model = ROI60 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V06"
## [1] "Model = ROI77 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V12"
## [1] "Model = ROI77 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"
## [1] "Visit =  V24"
## [1] "Model = ROI77 ~ Pro_SCQgrp + Proband_Sex + Cand_Sex + Pro_Age_SCQ_m + AgeMRI"

Mixed Models

Now we consider a longitudinal regression analysis using mixed effect models. These models are very similar to the linear regression models from before; the difference being that we include “random effects” in these models to tie together observations from the same infant. We include a random intercept and a random slope for time as the sole random effects in all of the models.

We provide the following output: regression parameter estimates, predicted trajectories for brain volume across time for each subject (colored by their diagnosis), and predicted trajectories for brain volume across Proband SCQ score for each subject at each time point (again colored by diagnosis).

Linear time effect

To model time in the fixed effects (along with the aforementioned random intercept, slope) we include the following:

  1. Slope for age
  2. Interaction term between age and diagnosis

and in the supplemental analyses we include the following as well:

  1. Interaction term between age and proband SCQ score
  2. Interaction term between age, diagnosis, and proband SCQ score

with the rest of the fixed effects being those found in the linear regression models with confounding. The use of the second and third interaction terms above allows the slope between proband score and brain measure to differ over time (become stronger/weaker as the infant ages), and for this differs to depend on diagnosis.

EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 82092.933 (71845.82, 92340.05) 336 <0.001
RiskGroupHR-ASD -19946.801 (-44472.08, 4578.48) 266 0.11
SCQ_Pro_Score -383.618 (-786.11, 18.88) 266 0.062
AgeMRI -205.949 (-340.48, -71.42) 336 0.003
Proband_SexFemale 3190.738 (-2737.86, 9119.34) 266 0.29
SiteSEA 1282.205 (-4666.71, 7231.12) 266 0.672
SiteSTL -371.639 (-5737.37, 4994.09) 266 0.892
SiteUNC 1750.234 (-3933.99, 7434.46) 266 0.545
Pro_Age_SCQ_y 434.995 (-363.57, 1233.56) 266 0.284
Cand_SexFemale -5204.957 (-9418.58, -991.33) 266 0.016
RiskGroupHR-ASD:SCQ_Pro_Score 1304.313 (298.59, 2310.04) 266 0.011
RiskGroupHR-ASD:AgeMRI -323.806 (-622.48, -25.13) 336 0.034
TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 823441.138 (784270.27, 862612.01) 374 <0.001
RiskGroupHR-ASD -127931.864 (-219393.21, -36470.52) 292 0.006
SCQ_Pro_Score -907.389 (-2519.59, 704.81) 292 0.269
AgeMRI 6511.037 (5994.45, 7027.62) 374 <0.001
Proband_SexFemale -2099.074 (-25120.67, 20922.53) 292 0.858
SiteSEA -13625.178 (-37525.11, 10274.76) 292 0.263
SiteSTL -9196.347 (-30869.66, 12476.97) 292 0.404
SiteUNC 4155.705 (-19310.11, 27621.52) 292 0.728
Pro_Age_SCQ_y -1218.522 (-4471.31, 2034.26) 292 0.462
Cand_SexFemale -75402.499 (-92391.04, -58413.95) 292 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score 6147.958 (2253.39, 10042.52) 292 0.002
RiskGroupHR-ASD:AgeMRI 259.570 (-912.65, 1431.79) 374 0.664
TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 55684.232 (53226.84, 58141.63) 369 <0.001
RiskGroupHR-ASD -7928.763 (-14409.55, -1447.97) 266 0.017
SCQ_Pro_Score -66.435 (-168.5, 35.63) 266 0.201
AgeMRI 1055.112 (1031.19, 1079.04) 369 <0.001
Proband_SexFemale 406.645 (-1142.03, 1955.32) 266 0.606
SiteSEA 255.979 (-1297, 1808.96) 266 0.746
SiteSTL -245.162 (-1667.53, 1177.2) 266 0.735
SiteUNC 310.821 (-1218.1, 1839.74) 266 0.689
Pro_Age_SCQ_y -61.176 (-272.09, 149.74) 266 0.568
Cand_SexFemale -4725.857 (-5816.15, -3635.57) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score 384.939 (107.51, 662.37) 266 0.007
RiskGroupHR-ASD:AgeMRI 10.016 (-44.85, 64.88) 369 0.72
CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 0.36792 (0.355, 0.3808) 297 <0.001
RiskGroupHR-ASD -0.01492 (-0.0445, 0.0146) 279 0.321
SCQ_Pro_Score 0.00028 (-2e-04, 8e-04) 279 0.284
AgeMRI 0.00453 (0.0043, 0.0048) 297 <0.001
Proband_SexFemale 0.00189 (-0.0053, 0.0091) 279 0.607
SiteSEA -0.00871 (-0.0166, -8e-04) 279 0.031
SiteSTL -0.01844 (-0.0255, -0.0114) 279 <0.001
SiteUNC -0.00502 (-0.0125, 0.0024) 279 0.186
Pro_Age_SCQ_y -0.00056 (-0.0016, 5e-04) 279 0.299
Cand_SexFemale -0.00052 (-0.0061, 0.005) 279 0.852
RiskGroupHR-ASD:SCQ_Pro_Score 0.00059 (-6e-04, 0.0018) 279 0.348
RiskGroupHR-ASD:AgeMRI 0.00002 (-5e-04, 5e-04) 297 0.936
CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 0.36036 (0.3463, 0.3744) 296 <0.001
RiskGroupHR-ASD -0.02287 (-0.0549, 0.0092) 279 0.161
SCQ_Pro_Score 0.00042 (-1e-04, 0.001) 279 0.148
AgeMRI 0.00507 (0.0048, 0.0053) 296 <0.001
Proband_SexFemale -0.00025 (-0.0081, 0.0076) 279 0.951
SiteSEA -0.00410 (-0.0127, 0.0045) 279 0.349
SiteSTL -0.00888 (-0.0165, -0.0012) 279 0.023
SiteUNC 0.00281 (-0.0053, 0.0109) 279 0.497
Pro_Age_SCQ_y -0.00051 (-0.0017, 6e-04) 279 0.385
Cand_SexFemale -0.00378 (-0.0098, 0.0023) 279 0.22
RiskGroupHR-ASD:SCQ_Pro_Score 0.00080 (-5e-04, 0.0021) 279 0.24
RiskGroupHR-ASD:AgeMRI 0.00015 (-4e-04, 7e-04) 296 0.577
CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 0.44057 (0.4225, 0.4587) 297 <0.001
RiskGroupHR-ASD -0.02099 (-0.0624, 0.0205) 279 0.32
SCQ_Pro_Score 0.00044 (-3e-04, 0.0012) 279 0.236
AgeMRI 0.00413 (0.0038, 0.0044) 297 <0.001
Proband_SexFemale 0.00354 (-0.0066, 0.0137) 279 0.492
SiteSEA -0.00043 (-0.0113, 0.0105) 279 0.938
SiteSTL -0.01687 (-0.0266, -0.0071) 279 <0.001
SiteUNC 0.00178 (-0.0085, 0.0121) 279 0.734
Pro_Age_SCQ_y -0.00050 (-0.002, 0.001) 279 0.507
Cand_SexFemale -0.00453 (-0.0122, 0.0031) 279 0.246
RiskGroupHR-ASD:SCQ_Pro_Score 0.00055 (-0.0012, 0.0023) 279 0.528
RiskGroupHR-ASD:AgeMRI -0.00001 (-7e-04, 7e-04) 297 0.977
ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 1172.117 (1078.52, 1265.71) 369 <0.001
RiskGroupHR-ASD 137.937 (-109.08, 384.96) 266 0.273
SCQ_Pro_Score -0.481 (-4.35, 3.39) 266 0.807
AgeMRI 20.130 (19.04, 21.22) 369 <0.001
Proband_SexFemale 46.517 (-12.39, 105.42) 266 0.121
SiteSEA -5.100 (-64.14, 53.94) 266 0.865
SiteSTL 43.056 (-11.12, 97.23) 266 0.119
SiteUNC 0.434 (-57.82, 58.69) 266 0.988
Pro_Age_SCQ_y 2.876 (-5.15, 10.91) 266 0.481
Cand_SexFemale -112.243 (-153.71, -70.78) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score -3.727 (-14.27, 6.81) 266 0.487
RiskGroupHR-ASD:AgeMRI -0.567 (-3.06, 1.93) 369 0.655
ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 1219.624 (1124.42, 1314.83) 369 <0.001
RiskGroupHR-ASD 110.428 (-137.63, 358.49) 266 0.382
SCQ_Pro_Score -0.976 (-4.89, 2.94) 266 0.624
AgeMRI 19.011 (18.04, 19.98) 369 <0.001
Proband_SexFemale 57.697 (-1.8, 117.2) 266 0.057
SiteSEA 15.189 (-44.49, 74.87) 266 0.617
SiteSTL 32.897 (-21.8, 87.59) 266 0.237
SiteUNC 25.468 (-33.31, 84.25) 266 0.394
Pro_Age_SCQ_y -3.147 (-11.26, 4.97) 266 0.446
Cand_SexFemale -118.125 (-160, -76.25) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score -3.228 (-13.8, 7.34) 266 0.548
RiskGroupHR-ASD:AgeMRI 0.744 (-1.48, 2.97) 369 0.511
ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 1676.878 (1488.94, 1864.81) 369 <0.001
RiskGroupHR-ASD -341.315 (-834.48, 151.85) 266 0.174
SCQ_Pro_Score -2.915 (-10.67, 4.84) 266 0.46
AgeMRI 43.638 (41.58, 45.7) 369 <0.001
Proband_SexFemale 36.880 (-81.09, 154.85) 266 0.539
SiteSEA 8.589 (-109.61, 126.79) 266 0.886
SiteSTL 54.881 (-53.57, 163.33) 266 0.32
SiteUNC 46.043 (-70.45, 162.54) 266 0.437
Pro_Age_SCQ_y 0.144 (-15.98, 16.27) 266 0.986
Cand_SexFemale -211.788 (-294.84, -128.74) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score 18.815 (-2.2, 39.83) 266 0.079
RiskGroupHR-ASD:AgeMRI 4.061 (-0.68, 8.81) 369 0.093
ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 1056.425 (965.19, 1147.66) 369 <0.001
RiskGroupHR-ASD -167.617 (-406.42, 71.18) 266 0.168
SCQ_Pro_Score 2.246 (-1.53, 6.02) 266 0.242
AgeMRI 13.272 (12.42, 14.12) 369 <0.001
Proband_SexFemale -8.012 (-65.39, 49.37) 266 0.784
SiteSEA 37.558 (-19.95, 95.07) 266 0.2
SiteSTL -0.174 (-52.92, 52.57) 266 0.995
SiteUNC 22.913 (-33.77, 79.59) 266 0.427
Pro_Age_SCQ_y -3.598 (-11.43, 4.24) 266 0.367
Cand_SexFemale -89.828 (-130.21, -49.45) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score 6.676 (-3.53, 16.89) 266 0.199
RiskGroupHR-ASD:AgeMRI 0.410 (-1.54, 2.36) 369 0.679
ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 1188.121 (1089.49, 1286.76) 369 <0.001
RiskGroupHR-ASD -107.046 (-366.04, 151.95) 266 0.417
SCQ_Pro_Score 1.182 (-2.89, 5.26) 266 0.569
AgeMRI 15.457 (14.4, 16.52) 369 <0.001
Proband_SexFemale 63.808 (1.81, 125.81) 266 0.044
SiteSEA 56.347 (-5.78, 118.47) 266 0.075
SiteSTL -23.437 (-80.45, 33.57) 266 0.419
SiteUNC -1.665 (-62.93, 59.6) 266 0.957
Pro_Age_SCQ_y -2.847 (-11.31, 5.62) 266 0.509
Cand_SexFemale -87.241 (-130.88, -43.6) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score 6.238 (-4.81, 17.29) 266 0.267
RiskGroupHR-ASD:AgeMRI -0.398 (-2.83, 2.03) 369 0.748
ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 672.019 (596.85, 747.19) 369 <0.001
RiskGroupHR-ASD -174.342 (-370.89, 22.2) 266 0.082
SCQ_Pro_Score -0.498 (-3.6, 2.6) 266 0.752
AgeMRI 8.682 (7.91, 9.46) 369 <0.001
Proband_SexFemale -11.008 (-58.1, 36.09) 266 0.646
SiteSEA 0.156 (-47.04, 47.36) 266 0.995
SiteSTL 11.404 (-31.88, 54.69) 266 0.604
SiteUNC 13.932 (-32.57, 60.43) 266 0.556
Pro_Age_SCQ_y -2.723 (-9.16, 3.71) 266 0.406
Cand_SexFemale -59.655 (-92.8, -26.5) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score 10.929 (2.55, 19.3) 266 0.011
RiskGroupHR-ASD:AgeMRI -0.605 (-2.39, 1.18) 369 0.505
ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 1434.571 (1261.62, 1607.52) 369 <0.001
RiskGroupHR-ASD -200.586 (-656.37, 255.2) 266 0.387
SCQ_Pro_Score 1.406 (-5.78, 8.59) 266 0.7
AgeMRI 31.218 (29.63, 32.81) 369 <0.001
Proband_SexFemale -9.543 (-118.53, 99.44) 266 0.863
SiteSEA -5.420 (-114.72, 103.88) 266 0.922
SiteSTL -5.968 (-106.05, 94.11) 266 0.907
SiteUNC 43.645 (-63.93, 151.22) 266 0.425
Pro_Age_SCQ_y -1.211 (-16.05, 13.63) 266 0.872
Cand_SexFemale -143.890 (-220.62, -67.16) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score 7.578 (-11.95, 27.1) 266 0.445
RiskGroupHR-ASD:AgeMRI 2.487 (-1.17, 6.14) 369 0.181
ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 1326.812 (1186.11, 1467.52) 369 <0.001
RiskGroupHR-ASD -622.994 (-993.87, -252.12) 266 0.001
SCQ_Pro_Score -6.646 (-12.48, -0.81) 266 0.026
AgeMRI 25.134 (23.67, 26.6) 369 <0.001
Proband_SexFemale 39.051 (-49.58, 127.68) 266 0.386
SiteSEA 18.158 (-70.69, 107) 266 0.688
SiteSTL 2.226 (-79.25, 83.7) 266 0.957
SiteUNC 0.616 (-86.98, 88.22) 266 0.989
Pro_Age_SCQ_y 2.455 (-9.62, 14.54) 266 0.689
Cand_SexFemale -145.222 (-207.61, -82.83) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score 26.760 (10.9, 42.61) 266 0.001
RiskGroupHR-ASD:AgeMRI 0.153 (-3.21, 3.52) 369 0.929
ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 585.657 (509.61, 661.7) 369 <0.001
RiskGroupHR-ASD -98.575 (-298.38, 101.22) 266 0.332
SCQ_Pro_Score -1.042 (-4.2, 2.11) 266 0.516
AgeMRI 11.492 (10.77, 12.22) 369 <0.001
Proband_SexFemale 19.731 (-28.2, 67.66) 266 0.418
SiteSEA 20.280 (-27.76, 68.32) 266 0.407
SiteSTL 10.939 (-33.11, 54.99) 266 0.625
SiteUNC -8.295 (-55.61, 39.02) 266 0.73
Pro_Age_SCQ_y 0.969 (-5.57, 7.51) 266 0.771
Cand_SexFemale -45.672 (-79.41, -11.93) 266 0.008
RiskGroupHR-ASD:SCQ_Pro_Score 5.936 (-2.61, 14.48) 266 0.173
RiskGroupHR-ASD:AgeMRI -1.631 (-3.3, 0.04) 369 0.055
ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 741.965 (657.02, 826.91) 369 <0.001
RiskGroupHR-ASD -175.772 (-399.06, 47.52) 266 0.122
SCQ_Pro_Score -1.782 (-5.29, 1.73) 266 0.319
AgeMRI 12.460 (11.53, 13.39) 369 <0.001
Proband_SexFemale 37.725 (-15.7, 91.15) 266 0.166
SiteSEA -16.531 (-70.06, 37) 266 0.544
SiteSTL -31.317 (-80.44, 17.81) 266 0.211
SiteUNC -28.809 (-81.59, 23.98) 266 0.284
Pro_Age_SCQ_y 4.186 (-3.11, 11.48) 266 0.26
Cand_SexFemale -52.977 (-90.58, -15.37) 266 0.006
RiskGroupHR-ASD:SCQ_Pro_Score 8.345 (-1.18, 17.87) 266 0.086
RiskGroupHR-ASD:AgeMRI 0.034 (-2.09, 2.16) 369 0.975
ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 592.311 (495.38, 689.24) 369 <0.001
RiskGroupHR-ASD -58.968 (-313.73, 195.79) 266 0.649
SCQ_Pro_Score -0.302 (-4.29, 3.69) 266 0.882
AgeMRI 21.607 (20.41, 22.8) 369 <0.001
Proband_SexFemale -1.364 (-62.07, 59.34) 266 0.965
SiteSEA -9.375 (-70.18, 51.43) 266 0.762
SiteSTL 31.859 (-23.96, 87.67) 266 0.262
SiteUNC 22.616 (-37.34, 82.58) 266 0.458
Pro_Age_SCQ_y 0.036 (-8.27, 8.34) 266 0.993
Cand_SexFemale -87.138 (-129.88, -44.4) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score 2.765 (-8.05, 13.58) 266 0.615
RiskGroupHR-ASD:AgeMRI -0.253 (-3, 2.49) 369 0.856

We also consider a spline modeling, with separate splines for each diagnostic group. The knots are placed at visit points (6 months, 12 months, 24 months). We only consider spline models for the “macro” scale brain measures (EACSF, TCV, TSA) as we see that compared to the linear mixed models, the splines do not significant new information. This was determined by a asymptotic likelihood ratio test with the linear mixed model as the null model (as the linear and spline models are nested models), using the restricted log likelihoods for each model. As before, the random effects consist of a random intercept and a random slope for age.

Spline time effect

Supplemental Analyses

Count of observed imaging data

First, we create a table of counts of available imaging data by time point, diagnosis. This can be done be counting the number of non-missing values of the AgeMRI variable.

Correlations between secondary brain regions and SCQ score

Correlations between brain and Proband ADI-R Reciprocal Social Interaction Scores

Demographics by proband group

## 
##  Welch Two Sample t-test
## 
## data:  SCQ_Pro_Score by Pro_SCQgrp
## t = -9.958, df = 31.638, p-value = 2.843e-11
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -10.923322  -7.212016
## sample estimates:
##  mean in group low mean in group high 
##           15.80952           24.87719
## 
##  Welch Two Sample t-test
## 
## data:  ADOS_SevScore by Pro_SCQgrp
## t = 1.5238, df = 31.513, p-value = 0.1375
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.2424826  1.6793247
## sample estimates:
##  mean in group low mean in group high 
##           6.350000           5.631579

Correlations between brain measures and behavioral measures

Linear Mixed Effects - Time Varying Associations

Re-fit the mixed effects models in the main analyses with the following additions to the main effects:

  1. Interaction term between age and proband SCQ score
  2. Interaction term between age, diagnosis, and proband SCQ score

The use of these interaction terms above allows the slope between proband score and brain measure to differ over time (become stronger/weaker as the infant ages), and for this differs to depend on diagnosis.

EACSF ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 79817.920 (63740.96, 95894.88) 334 <0.001
RiskGroupHR-ASD 23058.746 (-20304.84, 66422.33) 266 0.296
SCQ_Pro_Score -283.823 (-1002.83, 435.18) 266 0.438
AgeMRI -125.136 (-634.98, 384.71) 334 0.63
Proband_SexFemale 3488.753 (-2356.93, 9334.43) 266 0.241
SiteSEA 1585.502 (-4275.37, 7446.38) 266 0.595
SiteSTL 3.599 (-5282.01, 5289.21) 266 0.999
SiteUNC 2038.244 (-3552.42, 7628.91) 266 0.473
Pro_Age_SCQ_y 406.859 (-378.59, 1192.31) 266 0.309
Cand_SexFemale -5114.629 (-9263.33, -965.93) 266 0.016
RiskGroupHR-ASD:SCQ_Pro_Score -549.279 (-2402.09, 1303.53) 266 0.56
RiskGroupHR-ASD:AgeMRI -2090.629 (-3568.33, -612.93) 334 0.006
SCQ_Pro_Score:AgeMRI -3.783 (-27.43, 19.86) 334 0.753
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI 75.948 (12.94, 138.95) 334 0.018
TCV ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 826627.823 (778638.26, 874617.39) 372 <0.001
RiskGroupHR-ASD -98609.938 (-221968.48, 24748.6) 292 0.117
SCQ_Pro_Score -1088.578 (-3200, 1022.85) 292 0.311
AgeMRI 6259.573 (4234.75, 8284.4) 372 <0.001
Proband_SexFemale -2142.625 (-25149.97, 20864.72) 292 0.855
SiteSEA -13322.631 (-37215.86, 10570.6) 292 0.273
SiteSTL -8687.038 (-30377.8, 13003.73) 292 0.431
SiteUNC 4614.770 (-18858.06, 28087.6) 292 0.699
Pro_Age_SCQ_y -1195.710 (-4446.97, 2055.55) 292 0.47
Cand_SexFemale -75163.580 (-92150.38, -58176.78) 292 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score 4923.207 (-365.38, 10211.79) 292 0.068
RiskGroupHR-ASD:AgeMRI -1858.197 (-7916.96, 4200.57) 372 0.547
SCQ_Pro_Score:AgeMRI 12.184 (-82.62, 106.99) 372 0.801
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI 88.815 (-168.58, 346.21) 372 0.498
TSA ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 55799.391 (53317.29, 58281.49) 367 <0.001
RiskGroupHR-ASD -6847.881 (-13464.53, -231.23) 266 0.043
SCQ_Pro_Score -73.869 (-177.45, 29.71) 266 0.161
AgeMRI 1020.639 (927.15, 1114.13) 367 <0.001
Proband_SexFemale 380.303 (-1169, 1929.6) 266 0.629
SiteSEA 268.337 (-1285.03, 1821.7) 266 0.734
SiteSTL -229.898 (-1652.54, 1192.74) 266 0.751
SiteUNC 344.719 (-1184.76, 1874.2) 266 0.658
Pro_Age_SCQ_y -57.189 (-268.17, 153.8) 266 0.594
Cand_SexFemale -4718.741 (-5809.05, -3628.43) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score 341.668 (58.75, 624.59) 266 0.018
RiskGroupHR-ASD:AgeMRI -205.617 (-487.19, 75.96) 367 0.152
SCQ_Pro_Score:AgeMRI 1.653 (-2.69, 5.99) 367 0.454
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI 9.111 (-2.93, 21.15) 367 0.138
CCbody ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 0.36992 (0.3534, 0.38644) 295 <0.001
RiskGroupHR-ASD -0.03654 (-0.07871, 0.00563) 279 0.089
SCQ_Pro_Score 0.00020 (-0.00051, 0.00092) 279 0.575
AgeMRI 0.00438 (0.00345, 0.0053) 295 <0.001
Proband_SexFemale 0.00184 (-0.00538, 0.00906) 279 0.616
SiteSEA -0.00893 (-0.01682, -0.00104) 279 0.027
SiteSTL -0.01873 (-0.02577, -0.0117) 279 <0.001
SiteUNC -0.00534 (-0.01279, 0.00212) 279 0.16
Pro_Age_SCQ_y -0.00057 (-0.00163, 5e-04) 279 0.296
Cand_SexFemale -0.00064 (-0.00618, 0.00489) 279 0.819
RiskGroupHR-ASD:SCQ_Pro_Score 0.00151 (-0.00027, 0.0033) 279 0.096
RiskGroupHR-ASD:AgeMRI 0.00189 (-0.00076, 0.00454) 295 0.162
SCQ_Pro_Score:AgeMRI 0.00001 (-4e-05, 5e-05) 295 0.738
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI -0.00008 (-0.00019, 3e-05) 295 0.161
CCGenu ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 0.36812 (0.35058, 0.38565) 294 <0.001
RiskGroupHR-ASD -0.03995 (-0.08449, 0.0046) 279 0.079
SCQ_Pro_Score 0.00006 (-0.00069, 0.00081) 279 0.877
AgeMRI 0.00441 (0.00348, 0.00535) 294 <0.001
Proband_SexFemale -0.00032 (-0.00821, 0.00758) 279 0.937
SiteSEA -0.00424 (-0.01286, 0.00438) 279 0.334
SiteSTL -0.00906 (-0.01675, -0.00138) 279 0.021
SiteUNC 0.00257 (-0.00558, 0.01072) 279 0.535
Pro_Age_SCQ_y -0.00051 (-0.00168, 0.00065) 279 0.388
Cand_SexFemale -0.00384 (-0.00989, 0.00221) 279 0.213
RiskGroupHR-ASD:SCQ_Pro_Score 0.00156 (-0.00032, 0.00345) 279 0.104
RiskGroupHR-ASD:AgeMRI 0.00161 (-0.00107, 0.0043) 294 0.239
SCQ_Pro_Score:AgeMRI 0.00003 (-1e-05, 7e-05) 294 0.154
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI -0.00007 (-0.00018, 5e-05) 294 0.258
CCSplenium ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 0.44917 (0.42409, 0.47425) 295 <0.001
RiskGroupHR-ASD -0.06752 (-0.13192, -0.00311) 279 0.04
SCQ_Pro_Score 0.00005 (-0.00104, 0.00115) 279 0.922
AgeMRI 0.00357 (0.00232, 0.00481) 295 <0.001
Proband_SexFemale 0.00345 (-0.00666, 0.01356) 279 0.503
SiteSEA -0.00087 (-0.01179, 0.01004) 279 0.875
SiteSTL -0.01742 (-0.02717, -0.00767) 279 <0.001
SiteUNC 0.00119 (-0.00915, 0.01153) 279 0.821
Pro_Age_SCQ_y -0.00050 (-0.00197, 0.00097) 279 0.504
Cand_SexFemale -0.00473 (-0.01241, 0.00295) 279 0.226
RiskGroupHR-ASD:SCQ_Pro_Score 0.00257 (-0.00017, 0.0053) 279 0.066
RiskGroupHR-ASD:AgeMRI 0.00325 (-0.00028, 0.00677) 295 0.071
SCQ_Pro_Score:AgeMRI 0.00003 (-3e-05, 8e-05) 295 0.356
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI -0.00014 (-0.00029, 1e-05) 295 0.063
ROI01 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 1165.747 (1068.09, 1263.41) 367 <0.001
RiskGroupHR-ASD 227.102 (-38.7, 492.91) 266 0.094
SCQ_Pro_Score -0.224 (-4.34, 3.89) 266 0.915
AgeMRI 20.977 (16.68, 25.27) 367 <0.001
Proband_SexFemale 46.382 (-12.46, 105.22) 266 0.122
SiteSEA -5.374 (-64.34, 53.59) 266 0.858
SiteSTL 43.217 (-10.89, 97.32) 266 0.117
SiteUNC 1.072 (-57.12, 59.27) 266 0.971
Pro_Age_SCQ_y 3.033 (-4.99, 11.05) 266 0.457
Cand_SexFemale -112.065 (-153.47, -70.66) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score -7.509 (-18.85, 3.83) 266 0.193
RiskGroupHR-ASD:AgeMRI -12.009 (-24.93, 0.91) 367 0.068
SCQ_Pro_Score:AgeMRI -0.041 (-0.24, 0.16) 367 0.689
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI 0.497 (-0.06, 1.05) 367 0.078
ROI02 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 1250.051 (1144.96, 1355.14) 367 <0.001
RiskGroupHR-ASD 123.472 (-167.29, 414.24) 266 0.404
SCQ_Pro_Score -2.478 (-6.96, 2) 266 0.277
AgeMRI 16.454 (12.63, 20.28) 367 <0.001
Proband_SexFemale 57.558 (-1.92, 117.04) 266 0.058
SiteSEA 15.554 (-44.11, 75.22) 266 0.608
SiteSTL 33.509 (-21.17, 88.19) 266 0.229
SiteUNC 26.190 (-32.58, 84.96) 266 0.381
Pro_Age_SCQ_y -3.057 (-11.17, 5.06) 266 0.459
Cand_SexFemale -118.317 (-160.18, -76.45) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score -3.608 (-16.02, 8.8) 266 0.567
RiskGroupHR-ASD:AgeMRI -0.006 (-11.63, 11.61) 367 0.999
SCQ_Pro_Score:AgeMRI 0.123 (-0.06, 0.3) 367 0.175
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI 0.019 (-0.48, 0.51) 367 0.94
ROI08 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 1708.527 (1506.75, 1910.31) 367 <0.001
RiskGroupHR-ASD -26.301 (-576.86, 524.26) 266 0.925
SCQ_Pro_Score -4.645 (-13.19, 3.9) 266 0.286
AgeMRI 40.162 (32.3, 48.02) 367 <0.001
Proband_SexFemale 35.544 (-82.29, 153.38) 266 0.553
SiteSEA 9.611 (-108.45, 127.68) 266 0.873
SiteSTL 57.774 (-50.56, 166.1) 266 0.295
SiteUNC 49.249 (-67.13, 165.63) 266 0.405
Pro_Age_SCQ_y 0.587 (-15.52, 16.7) 266 0.943
Cand_SexFemale -211.236 (-294.18, -128.29) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score 5.716 (-17.76, 29.19) 266 0.632
RiskGroupHR-ASD:AgeMRI -25.137 (-48.72, -1.56) 367 0.037
SCQ_Pro_Score:AgeMRI 0.167 (-0.2, 0.53) 367 0.369
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI 1.237 (0.23, 2.24) 367 0.016
ROI41 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 1054.165 (958.33, 1150) 367 <0.001
RiskGroupHR-ASD -107.526 (-366.81, 151.76) 266 0.415
SCQ_Pro_Score 2.288 (-1.75, 6.33) 266 0.266
AgeMRI 13.436 (10.1, 16.77) 367 <0.001
Proband_SexFemale -7.859 (-65.17, 49.45) 266 0.787
SiteSEA 38.054 (-19.39, 95.5) 266 0.193
SiteSTL 0.764 (-51.93, 53.45) 266 0.977
SiteUNC 23.477 (-33.15, 80.1) 266 0.415
Pro_Age_SCQ_y -3.456 (-11.28, 4.37) 266 0.385
Cand_SexFemale -89.748 (-130.08, -49.42) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score 4.150 (-6.93, 15.23) 266 0.462
RiskGroupHR-ASD:AgeMRI -5.528 (-15.6, 4.55) 367 0.281
SCQ_Pro_Score:AgeMRI -0.008 (-0.16, 0.15) 367 0.922
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI 0.255 (-0.17, 0.68) 367 0.243
ROI42 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 1191.440 (1086.61, 1296.27) 367 <0.001
RiskGroupHR-ASD -101.518 (-387.27, 184.23) 266 0.485
SCQ_Pro_Score 1.011 (-3.42, 5.44) 266 0.654
AgeMRI 15.068 (10.9, 19.24) 367 <0.001
Proband_SexFemale 63.694 (1.68, 125.71) 266 0.044
SiteSEA 56.519 (-5.62, 118.66) 266 0.074
SiteSTL -23.280 (-80.31, 33.75) 266 0.422
SiteUNC -1.446 (-62.74, 59.84) 266 0.963
Pro_Age_SCQ_y -2.823 (-11.29, 5.65) 266 0.512
Cand_SexFemale -87.266 (-130.91, -43.62) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score 6.025 (-6.16, 18.21) 266 0.331
RiskGroupHR-ASD:AgeMRI -0.917 (-13.45, 11.62) 367 0.886
SCQ_Pro_Score:AgeMRI 0.019 (-0.17, 0.21) 367 0.849
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI 0.020 (-0.51, 0.56) 367 0.941
ROI44 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 687.045 (605.13, 768.96) 367 <0.001
RiskGroupHR-ASD -226.271 (-450.71, -1.83) 266 0.048
SCQ_Pro_Score -1.216 (-4.7, 2.26) 266 0.492
AgeMRI 7.349 (4.35, 10.35) 367 <0.001
Proband_SexFemale -11.019 (-58.12, 36.08) 266 0.645
SiteSEA 0.376 (-46.83, 47.58) 266 0.987
SiteSTL 11.368 (-31.93, 54.66) 266 0.606
SiteUNC 13.892 (-32.62, 60.41) 266 0.557
Pro_Age_SCQ_y -2.730 (-9.17, 3.71) 266 0.404
Cand_SexFemale -59.758 (-92.91, -26.6) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score 13.209 (3.63, 22.78) 266 0.007
RiskGroupHR-ASD:AgeMRI 3.739 (-5.29, 12.77) 367 0.416
SCQ_Pro_Score:AgeMRI 0.064 (-0.08, 0.2) 367 0.366
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI -0.193 (-0.58, 0.19) 367 0.324
ROI47 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 1433.381 (1259.33, 1607.43) 367 <0.001
RiskGroupHR-ASD -165.459 (-628.13, 297.21) 266 0.482
SCQ_Pro_Score 1.409 (-5.85, 8.66) 266 0.703
AgeMRI 31.384 (25.11, 37.65) 367 <0.001
Proband_SexFemale -9.824 (-118.81, 99.17) 266 0.859
SiteSEA -5.605 (-114.89, 103.68) 266 0.92
SiteSTL -5.882 (-105.94, 94.18) 266 0.908
SiteUNC 44.247 (-63.32, 151.82) 266 0.419
Pro_Age_SCQ_y -1.034 (-15.87, 13.81) 266 0.891
Cand_SexFemale -143.692 (-220.39, -66.99) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score 6.146 (-13.65, 25.94) 266 0.541
RiskGroupHR-ASD:AgeMRI -5.490 (-24.39, 13.41) 367 0.568
SCQ_Pro_Score:AgeMRI -0.008 (-0.3, 0.28) 367 0.957
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI 0.344 (-0.46, 1.15) 367 0.403
ROI48 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 1337.202 (1191.79, 1482.61) 367 <0.001
RiskGroupHR-ASD -581.669 (-973.94, -189.4) 266 0.004
SCQ_Pro_Score -7.209 (-13.31, -1.11) 266 0.021
AgeMRI 23.376 (17.53, 29.22) 367 <0.001
Proband_SexFemale 37.591 (-51.33, 126.51) 266 0.406
SiteSEA 18.931 (-70.19, 108.05) 266 0.676
SiteSTL 4.337 (-77.4, 86.07) 266 0.917
SiteUNC 2.366 (-85.52, 90.25) 266 0.958
Pro_Age_SCQ_y 2.568 (-9.55, 14.69) 266 0.677
Cand_SexFemale -146.195 (-208.77, -83.62) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score 25.086 (8.34, 41.84) 266 0.003
RiskGroupHR-ASD:AgeMRI -5.134 (-22.73, 12.46) 367 0.566
SCQ_Pro_Score:AgeMRI 0.085 (-0.19, 0.36) 367 0.538
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI 0.218 (-0.53, 0.97) 367 0.568
ROI59 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 586.171 (508.36, 663.98) 367 <0.001
RiskGroupHR-ASD -59.545 (-267.52, 148.43) 266 0.573
SCQ_Pro_Score -1.107 (-4.36, 2.15) 266 0.504
AgeMRI 11.337 (8.51, 14.16) 367 <0.001
Proband_SexFemale 19.527 (-28.4, 67.46) 266 0.423
SiteSEA 20.169 (-27.87, 68.21) 266 0.409
SiteSTL 11.116 (-32.93, 55.16) 266 0.62
SiteUNC -7.847 (-55.16, 39.47) 266 0.744
Pro_Age_SCQ_y 1.078 (-5.46, 7.62) 266 0.746
Cand_SexFemale -45.416 (-79.15, -11.69) 266 0.009
RiskGroupHR-ASD:SCQ_Pro_Score 4.320 (-4.57, 13.21) 266 0.339
RiskGroupHR-ASD:AgeMRI -7.109 (-15.6, 1.38) 367 0.101
SCQ_Pro_Score:AgeMRI 0.007 (-0.12, 0.14) 367 0.911
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI 0.235 (-0.13, 0.6) 367 0.204
ROI60 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 743.847 (654, 833.69) 367 <0.001
RiskGroupHR-ASD -125.971 (-370.28, 118.34) 266 0.311
SCQ_Pro_Score -1.907 (-5.7, 1.89) 266 0.323
AgeMRI 12.191 (8.56, 15.82) 367 <0.001
Proband_SexFemale 37.496 (-15.95, 90.94) 266 0.168
SiteSEA -16.468 (-70.02, 37.08) 266 0.545
SiteSTL -30.968 (-80.11, 18.18) 266 0.216
SiteUNC -28.358 (-81.17, 24.45) 266 0.291
Pro_Age_SCQ_y 4.266 (-3.03, 11.57) 266 0.251
Cand_SexFemale -52.810 (-90.43, -15.19) 266 0.006
RiskGroupHR-ASD:SCQ_Pro_Score 6.263 (-4.16, 16.68) 266 0.238
RiskGroupHR-ASD:AgeMRI -5.254 (-16.16, 5.65) 367 0.344
SCQ_Pro_Score:AgeMRI 0.013 (-0.16, 0.18) 367 0.88
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI 0.226 (-0.24, 0.69) 367 0.341
ROI77 ~ RiskGroup + SCQ_Pro_Score + RiskGroup * SCQ_Pro_Score + AgeMRI + RiskGroup * AgeMRI + AgeMRI + SCQ_Pro_Score * AgeMRI + SCQ_Pro_Score * AgeMRI * RiskGroup + Proband_Sex + Site + Pro_Age_SCQ_y + Cand_Sex
Variable Estimate CI_95 DF p_value
(Intercept) 600.436 (493.29, 707.58) 367 <0.001
RiskGroupHR-ASD -13.697 (-309.68, 282.29) 266 0.927
SCQ_Pro_Score -0.729 (-5.3, 3.84) 266 0.754
AgeMRI 20.773 (16.13, 25.42) 367 <0.001
Proband_SexFemale -1.561 (-62.21, 59.09) 266 0.96
SiteSEA -9.146 (-69.9, 51.61) 266 0.767
SiteSTL 32.349 (-23.43, 88.13) 266 0.255
SiteUNC 23.252 (-36.67, 83.18) 266 0.446
Pro_Age_SCQ_y 0.108 (-8.19, 8.4) 266 0.98
Cand_SexFemale -86.990 (-129.69, -44.29) 266 <0.001
RiskGroupHR-ASD:SCQ_Pro_Score 0.900 (-11.7, 13.5) 266 0.888
RiskGroupHR-ASD:AgeMRI -4.218 (-18.12, 9.69) 367 0.551
SCQ_Pro_Score:AgeMRI 0.040 (-0.18, 0.26) 367 0.715
RiskGroupHR-ASD:SCQ_Pro_Score:AgeMRI 0.166 (-0.43, 0.76) 367 0.583